Philipp Marienhagen: Calculation of equation-of-state data in many-particle systems consisting of hard-anisotropic particles
Yannis Schumann: Distinguishing Molecular Tumor Subgroups Using Deep Learning
deep learning
Events
Monday, June 11th, 2026 | 14:00 - 15:00 p.m.
Digitale Lunch Lecture: Using Universal Design for Learning and AI for Student Engagement
online
The lecture will be held in English. However, questions in German are possible. Subtitles will also be provided.
In our large-enrollment class meetings, students can feel disconnected from the learning experience and may stop coming to lectures all together. What can bring them back? Designing our interactions with students to be as broadly accessible and inclusive as possible, in order to foster greater student agency, autonomy, and satisfaction. This webinar will share concrete strategies for how to adopt Universal Design for Learning (UDL) principles to engage learners deeply. We’ll also explore how to use artificial intelligence tools to increase the positive impact of UDL.
Das Team des Projekts “Mehr UDL in der Lehre” freut sich sehr, Tom Tobin an der Uni Hamburg mit einem Beitrag begrüßen zu dürfen. Tom Tobin (PhD, MSLS, PMP, MOT, CPACC ) ist ein international anerkannter Wissenschaftler, Autor und Referent im Bereich technologiegestützter Bildung. Eduflow zählt ihn zu den weltweit einflussreichsten Stimmen im Bereich Lernen und Lehre (Top 100 Learning Influencers). Zu seinen Publikationen zählen u.a. Reach Everyone, Teach Everyone (2018), Implementing UDL in Irish Further Education and Training (2021), Evaluating Teaching in the Digital Era (erscheint 2027).
Institution
- UHH
Thursday, 27th April | 14:30-16:00 p.m
Seminar Series: Computation & Data
Container Building C2/S2 (near Grandplatz), room 113-115 Holstenhofweg 85, Hamburg
Institutions
Monday, September 23th - Tuesday, September 24th, 2024 | 09:00 - 17:00
Workshop Deep Learning in Inverse Problems
DESY, Notkestraße 85, Hamburg
Join us in person on September 23-24, 2024 at DESY in Hamburg for a workshop on Deep Learning in Inverse Problems, jointly organized by DESY, DFG, FoDL, the University of Hamburg, and Helmholtz Imaging. Register by 15 September at here.
This workshop focuses on novel developments on learning based methods for inverse problems, including supervised learning and unsupervised learning such as learned regularizations and generative models for Bayesian inversion. Particular emphasis will be put on the understanding of foundations of learning in this area as well as novel applications including problems in imaging and speech/audio processing.
Speakers include:
- Tatiana Bubba (University of Bath),
- Antoine Deleforge (INRIA Nancy),
- Berthy Feng (Caltech),
- Eloi Moliner (Aalto University Helsinki), and
- Ozan Öktem (KTH Stockholm).
Institutions
People
Maya Topf
Professor for Integrative Virology
Head of Department, Integrative Virology
maya.topf@cssb-hamburg.de
Michael Brehler
Project Manager, IMSB, UKE
m.brehler@uke.de
Institutions
Philipp Heuser
Head of Helmholtz Imaging Service Unit at DESY
philipp.heuser@helmholtz-imaging.de
Institutions
Institutions
bAIome-Center for Biomedical AI, UKE
bAIome is a nucleation point for biomedical AI research at University medical clinic Hamburg-Eppendorf (UKE).
CoSy.Bio - Institute for Computational Systems Biology, UHH
CoSy.Bio is a nucleation point for AI-driven translation of medical data into clinical action at the Universität Hamburg (UHH).
People
Data Science in Hamburg | Helmholtz Graduate School for the Structure of Matter, DESY & UHH & TUHH & HSU & HAW & Hereon & HZI & MPSD & EuXFEL
Helmholtz graduate school educating the next generation of international and interdisciplinary data scientists
Helmholtz Imaging
Helmholtz Imaging's mission is to unlock the potential of imaging in the Helmholtz Association.
People
Universität Hamburg
Adeline Scharfenberg