HGS MathComp - Where Methods Meet Applications
The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) at Heidelberg University is one of the leading graduate schools in Germany focusing on the complex topic of Scientific Computing. Located in a vibrant research environment, the school offers a structured interdisciplinary education for PhD students. The program supports students in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life-sciences, physics, and chemical engineering sciences to cultural heritage. A strong focus is put on the mathematical and computational foundations: the theoretical underpinnings and computational abstraction and conception.
HGS MathComp Principal Investigators are leading experts in their fields, working on projects that combine mathematical and computational methodology with topical research issues. Individual mentoring for PhD candidates and career development programs ensure that graduates are fully equipped to take up top positions in industry and academia.
13.11.2025
16:30 - 18:00
16:30 - 18:00
Theory & Methods
"Machine learning galore!" Lab Presentation & Science Talks
Colloquium
Location: Mathematikon • 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: Please register via this form
Organizer: MLAI
Registration: Please register via this form
Organizer: MLAI
ECTS: 1 for 5
Machine learning galore will feature lab presentations by PIs as well as scientific talks by junior scientists.
To help plan the catering, please register for free by clicking here.
Scientific Machine Learning is a joint initiative from STRUCTURES and IWR aimed at fostering interactions within and development of the local machine learning community. Its portal summarizes the many relevant events and news from across campus that would otherwise remain scattered across single institutions or fields. The goals of the MLAI platform align with the STRUCTURES Cluster of Excellence's objective of driving research into the fundamental understanding of current and future machine learning, and with IWR’s aim to leverage machine learning to enable the solution of long-standing problems in the natural and life sciences, the engineering sciences, as well as the humanities.
Further information and links:
MLAI homepage • Machine Learning Talks on Campus – Information service and mailing list • STRUCTURES Cluster of Excellence
To help plan the catering, please register for free by clicking here.
Scientific Machine Learning is a joint initiative from STRUCTURES and IWR aimed at fostering interactions within and development of the local machine learning community. Its portal summarizes the many relevant events and news from across campus that would otherwise remain scattered across single institutions or fields. The goals of the MLAI platform align with the STRUCTURES Cluster of Excellence's objective of driving research into the fundamental understanding of current and future machine learning, and with IWR’s aim to leverage machine learning to enable the solution of long-standing problems in the natural and life sciences, the engineering sciences, as well as the humanities.
Further information and links:
MLAI homepage • Machine Learning Talks on Campus – Information service and mailing list • STRUCTURES Cluster of Excellence
Lab presentations:
Lukas Balles • Jürgen Hesser • Wolfgang Huber
Science talks:
Constantin Ahlmann-Eltze (Huber lab):
ML in Single Cell and Spatial Omics for Tissue Biology and Biomedical Research
Pit Neitemeier (Balles lab):
Learnt splitting and the influence of compression ratios in end-to-end hierarchical language modeling
Marcus Buchwald (Hesser lab):
Reaching for Causal Image Generation using deep conditioning
Lukas Balles • Jürgen Hesser • Wolfgang Huber
Science talks:
Constantin Ahlmann-Eltze (Huber lab):
ML in Single Cell and Spatial Omics for Tissue Biology and Biomedical Research
Pit Neitemeier (Balles lab):
Learnt splitting and the influence of compression ratios in end-to-end hierarchical language modeling
Marcus Buchwald (Hesser lab):
Reaching for Causal Image Generation using deep conditioning
18.11.2025
18:00
18:00
Frauenpower in Tech: Panel und Networking
Networking
Location: Gartensaal des Völkerkundemuseums • Hauptstrasse 235 • 69117 Heidelberg
Registration: Registrierung über die Event-Website
Organizer: hei_INNOVATION • Institut für Informatik • IWR • GI Fachgruppe Frauen und Informatik
Registration: Registrierung über die Event-Website
Organizer: hei_INNOVATION • Institut für Informatik • IWR • GI Fachgruppe Frauen und Informatik
ECTS: 0
Dein Weg in die IT: Gestalte die digitale Zukunft mit!
Du studierst in Heidelberg und fragst dich, ob eine Karriere in der IT etwas für dich sein könnte – auch ohne Informatik-Background? Dann haben wir genau das Richtige für dich! Nach zwei erfolgreichen Runden laden wir dich herzlich zur Neuauflage unseres beliebten IT-Panels speziell für Studentinnen ein.
Dieses Event richtet sich an alle Studentinnen der Universität Heidelberg. Egal, ob du aus einem IT-nahen Fach kommst oder als Quereinsteigerin aus den Geistes-, Sozial- oder Naturwissenschaften neugierig auf die Tech-Welt bist: Deine Perspektive ist gefragt!
Du studierst in Heidelberg und fragst dich, ob eine Karriere in der IT etwas für dich sein könnte – auch ohne Informatik-Background? Dann haben wir genau das Richtige für dich! Nach zwei erfolgreichen Runden laden wir dich herzlich zur Neuauflage unseres beliebten IT-Panels speziell für Studentinnen ein.
Dieses Event richtet sich an alle Studentinnen der Universität Heidelberg. Egal, ob du aus einem IT-nahen Fach kommst oder als Quereinsteigerin aus den Geistes-, Sozial- oder Naturwissenschaften neugierig auf die Tech-Welt bist: Deine Perspektive ist gefragt!
• Inspirierende Role Models: Triff auf Frauen, die in der Tech-Branche erfolgreich sind. Sie teilen ihre persönlichen Geschichten und zeigen, dass der Weg in die IT viele Facetten hat.
• Spannende Einblicke: In einer interaktiven Panel-Diskussion beleuchten wir die vielfältigen Tätigkeitsfelder in der Informatik – weit über das reine Programmieren hinaus.
• Networking in lockerer Atmosphäre: Komm bei Häppchen und Getränken direkt mit den Expertinnen und anderen Studentinnen ins Gespräch, knüpfe wertvolle Kontakte und stelle all deine Fragen.
• Spannende Einblicke: In einer interaktiven Panel-Diskussion beleuchten wir die vielfältigen Tätigkeitsfelder in der Informatik – weit über das reine Programmieren hinaus.
• Networking in lockerer Atmosphäre: Komm bei Häppchen und Getränken direkt mit den Expertinnen und anderen Studentinnen ins Gespräch, knüpfe wertvolle Kontakte und stelle all deine Fragen.
19.11.2025
09:00 - 13:00
09:00 - 13:00
Theory & Methods
Expert Topics in Version Control with Git
Compact Courses
Speaker: Dr. Dominic Kempf, Research Software Engineer, Scientific Software Center (SSC)
Location: Mathematikon • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please register on the course website
Organizer: Scientific Software Center (SSC)
Location: Mathematikon • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please register on the course website
Organizer: Scientific Software Center (SSC)
ECTS: 0.5
This is a half day course.
The latest information and a registration link are available on the course website.
This compact course is part of the course program of the Scientific Software Center (SSC) at Heidelberg University.
The latest information and a registration link are available on the course website.
This compact course is part of the course program of the Scientific Software Center (SSC) at Heidelberg University.
Prerequisites:
Prior knowledge about version control with Git is required. This can e.g. be acquired by attending the SSC’s introductory course “Version Control with Git” and “Intermediate Topics in Version Control with Git”. This course is intended for researchers that develop their own research software. Participants are required to bring their own laptops to work on during the course. Network access (e.g. through Eduroam) is recommended.
Summary:
Applying version control can be a game changer for a collaborative research software project. However, even in projects that already successfully use Git, there is often room for improvement of the employed Git workflows. This workshop explores some advanced topics that increase the participants’ repertoire of Git workflows: Bisection, Worktrees, Submodules, Large File Storage and Pre-commit Hooks. Additionally, we showcase invasive methods of modifying a Git repository via Rebase.
Learning Objectives:
After the course participants will
- Know about advanced Git features like submodules, large file storage
- Be able to bisect regression in a Git repository
- Understand the advantages of worktrees
- Be able to apply pre-commit hooks for their Git repositories
- Have used Rebase to change a repository’s Git history
Prior knowledge about version control with Git is required. This can e.g. be acquired by attending the SSC’s introductory course “Version Control with Git” and “Intermediate Topics in Version Control with Git”. This course is intended for researchers that develop their own research software. Participants are required to bring their own laptops to work on during the course. Network access (e.g. through Eduroam) is recommended.
Summary:
Applying version control can be a game changer for a collaborative research software project. However, even in projects that already successfully use Git, there is often room for improvement of the employed Git workflows. This workshop explores some advanced topics that increase the participants’ repertoire of Git workflows: Bisection, Worktrees, Submodules, Large File Storage and Pre-commit Hooks. Additionally, we showcase invasive methods of modifying a Git repository via Rebase.
Learning Objectives:
After the course participants will
- Know about advanced Git features like submodules, large file storage
- Be able to bisect regression in a Git repository
- Understand the advantages of worktrees
- Be able to apply pre-commit hooks for their Git repositories
- Have used Rebase to change a repository’s Git history