Welcome to the latest addition of the NAISS training newsletter. Registration for the NAISS Introduction training week is about to close. Registration for the CodeRefienry workshop has now been opened. We re-advertise a number of events advertised before.
An overview on our events is available on the NAISS training page (NAISS).
Questions on NAISS training events and general input for the NAISS training team should be made through the NAISS support system.
Overview
NAISS training
- Registration closing: NAISS introduction training week, 2 - 6 February 2026
- Online training workshop: Basic Singularity/Apptainer workshop, 19 February 2026
- Online workshop: Intro to Python for HPC, 3 March, 2026
- Online course: Array computing in C++ using Eigen, 5 March 2026
- Online training course: Introduction to Pandas for data science, 10 - 11 March 2026
Online interactive support and discussion forum
- NAISS Zoom-in - a virtual open-house, 12th February from 14:00 until 15:00
CodeRefinery events
- Online workshop: CodeRefinery workshop on tools and techniques for reproducible research, 17-19 and 24-26 of March 2026
Mimer AI factory training
- Webinar: Healthcare foundation models, 11 February 2025
- Training Course: Introduction to Deep Learning, 17 - 19 February 2026
Berzelius events
- Online training event: “NSC introduction to Berzelius”, 10 March 2026 at 10:00
NAISS training
Registration closing for online training courses: NAISS Introduction training week, 2nd - 6th February 2026
The NAISS introduction training week offers seven modules distributed over 5 days. Each module describes a particular aspect of the NAISS systems. You are welcome to choose and pick the modules that best address your existing knowledge, your interest and your requirements. For each module we provide a separate description, which should allow you to make an informed choice on the modules you wish to attend.
The course modules are particularly aimed at new users of the infrastructure. They are also suitable for experienced users, wishing to deepen their understanding of the workings of the systems.
The training week offers the following modules:
- Linux Command Line 101
- Conneting and File transfer
- Selecting software modules
- Running jobs on clusters
- Linux Command Line 202
- Running AI/ML workloads on NAISS systems
- Handling sensitive data at NAISS
Participants can attend as many of the modules as they wish.
Detailed information and access to registration is available on the NAISS introduction training page (GitHub).
Online training workshop: Basic Singularity/Apptainer workshop, 19 February 2026
The online workshop is an introduction to the basic concepts of containerised software environment solutions within the Singularity framework (Sylabs).
During the workshop you will have the opportunity to follow the interactive guide on
- how to run Singularity containers
- how to build your own
- good (and bad) practices on designing and building Singularity recipes
- build and/or host container remotely and what are the limitations
To fully benefit from the workshop, basic Linux system administration experience is highly desirable i.e. knowledge of package management and common tools for building and/or managing software: git, pip, conda, wget, curl …
When: 19 February, 2026
Where: Online via Zoom
For more information and registration, please visit the singularity workshop page (UPPMAX)
Online workshop: Intro to Python for HPC, 3 March, 2026
This 1-day course lets you write and run Python code on an HPC cluster. The goal of the first half of the course, is to run Python on an HPC cluster, with little focus on the Python language itself. The goal of the second half of the course, is to learn the basics of Python and can be done from your local computer as well. The pace of this highly interactive course is set by the majority of learners, ensuring that any complete beginner has enough time for exercises. At the end of the day, you should feel comfortable with writing and running Python code on either HPC or your local computer.
When: Tuesday, March 3rd, 2026, 9:00 - 16:00
Where: Online via Zoom
Course information and registration: Python intro workshop page (UPPMAX)
Online course: Array computing in C++ using Eigen, 5 March 2026
This course introduces students to high-performance array computing in C++ using the Eigen library, a versatile template library for linear algebra, matrices, and vectors. Participants will learn to leverage Eigen's expressive syntax and optimized computations for efficient numerical operations. The course covers fundamental concepts such as matrix operations, vector manipulations, and array broadcasting. Through hands-on exercises, students will discover how to use Eigen's powerful features for basic and advanced array operations, gaining essential skills for numerical programming in C++.
For more information and registration, please visit: the array computing course page (LUNARC).
Online training course: Introduction to Pandas for data science, 10 - 11 March 2026
Pandas is a powerful, popular Python package for cleaning, manipulating, and statistically analyzing large tabular data sets. It is particularly useful in preparation for AI/ML applications and publication-ready visualization. Originally developed for financial panel data, it is now used by data scientists in a huge variety of fields, from marketing to medicine to astronomy. Pandas is capable of handling data sets of several Gigabytes.
This course will introduce: core Pandas data types, basic input/output routines, data selection and filtering, data inspection and cleaning methods, built-in and user-defined functions for data manipulation, memory saving datatypes, multithreading methods, built-in visualization methods.
For more information and access to registration, please visit the Pandas introduction course page (LUNARC).
Online interactive support and discussion forum
NAISS Zoom-in - a virtual open-house, 12th February from 14:00 until 15:00
You are invited to a virtual meeting room. Inside the meeting room we like to discuss services offered by NAISS and how they can be used for your computational needs, help you process your data and visualise your results. Participants are highly encouraged to pose their own questions.
We also expect to have experts available from C3SE, HPC2N, LUNARC and Berzelius to discuss the University operated HPC services at Chalmers, Umeå and Lund University.
The zoom-link will be shared closer to the event.
The following NAISS Zoom-in is planned for the 12th March 2026
CodeRefinery events
Online workshop: CodeRefinery workshop on tools and techniques for reproducible research, 17-19 and 24-26 of March 2026
Are you writing code for your research? Do you struggle to reproduce results of your own or others computations?
Join the online CodeRefinery workshop during 6 days:
Introduction to git and collaborative git: 17 - 19 of March 2026.
Reproducible research and other topics: 24 - 26 of March 2026.
The CodeRefinery workshop aims to support researchers of all domains, levels and preferred programming languages to write more reproducible research code. The workshop is held online (streamed on Twitch) with hands-on sessions.
The registration will open very soon and will be announced on the CodeRefinery website and a number of publications, including a future edition of the NAISS training newsletter,
For more information and registration, please visit the CodeRefinery workshop page (GitHub).
Mimer AI factory training
Webinar: Healthcare foundation models, 11 February 2025
Abstract: All of society is in rapid change as AI becomes more prolific. Generative models for text and images have disrupted sectors like marketing, publishing and software. Healthcare seems to be lagging behind, largely because many obstacles for AI in healthcare are poorly addressed by well known commercial providers like ChatGPT and Gemini. This webinar highlights the unique challenges in healthcare, such as data security and model safety. Topics covered include applications of AI in healthcare (transcription, summarization), and key challenges (data privacy, algorithmic fairness).
Detailed information at the healthcare foundation models page (Mimer AI).
Time: Feb. 11, 11:30-13:30 (CET) (2026).
Training Course: Introduction to Deep Learning, 17 - 19 February 2026
Abstract: Deep learning is a powerful subset of machine learning where computers learn patterns from data, similar to how our brains learn. It uses artificial neural networks-systems inspired by biological neurons that process information through many layers. The term "deep" refers to networks with tens or hundreds of layers, each containing millions of connections. Deep learning today powers technologies ranging from foundational applications such as language models and image recognition, to cutting edge applications such as weather forecasting and protein folding. However, for beginners, stepping into this field can feel daunting and we intend to make this easy for you.
This three-day online workshop, organized by Mimer in partnership with LUMI AI Factory and CSC, is designed to provide a beginner-friendly introduction to deep learning concepts, workflows, architectures, and practical applications.
You will learn how to build end-to-end models for tasks such as:
- Classification
- Regression
- Convolutional Neural Networks (CNNs)
- Transfer Learning
Time:
Setup and dry-run: 16 Feb 2026, 9:00-11:00
Main event: 17-19 Feb 2026; 9:00-12:00 each day
NOTE: webpage will be created soon
Registration: Deep learning course reistration form (NAISS)
Berzelius events
Online training event: “NSC introduction to Berzelius”, 10 March 2026 at 10:00
An online Berzelius training event in three parts:
- A brief introduction for new users of the NSC Berzelius cluster. It provides an overview of the system, instructions on how to apply for a project, an introduction to the software environment, information on user support, and other useful tips to help you get started.
- An overview of the Berzelius HPC architecture, highlighting its GPU-accelerated compute nodes, high-speed interconnect, fast storage systems, and design optimisations for AI, machine learning, and data-intensive research.
- An open session for questions with several NSC application experts attending.
The online event is open for all current and prospective Berzelius users.
Date: Tuesday, March 10, 2026
Time: 10:00 - 11:30
Place: Online via Zoom (link provided upon registration)
For more info and registration, please visit the Berzelius training page (NSC).