11.04.25
Die Summer School "From Ideas to Impact: A Summer School on Design Thinking for Diversity Medicine" findet im September 2025 statt. Für die Vorbereitung und Durchführung haben wir eine Stelle ausgeschrieben. Wir freuen uns auf Bewerbungen!
11.04.25
Auf der führenden Digital-Health-Messe DMEA in Berlin haben Michel Preuß und Prof. Moritz Göldner am 10. April 2025 unser Projekt zur Verbesserung der ökologischen Nachhaltigkeit im Einkauf für den OP-Bereich vorgestellt.
11.04.25
Das Projekt „Science made in Hamburg“ will den gesellschaftlichen Nutzen von Forschung sichtbarer machen
10.04.25
Die Lernplattformen ILIAS und StudIP werden am Donnerstag, den 17. April, ab 15:00 Uhr wegen eines Systemupdates nicht erreichbar sein.
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10.04.25
190 Schülerinnen erleben MINT-Faszination auf dem Campus
10.04.25
S. Jadhav, H. Falk. Compiler-level DMA-aware multi-objective dynamic SPM allocation. In the International Journal of Time-Critical Computing Systems (Real-Time Systems), Springer, April 2025.
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10.04.25
Post-Doctoral Researcher Position at TUHH (permanent position, German E-14 salary)
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10.04.25
Doctoral Researcher Position at TUHH (funding for 4 years, German E-13 salary)
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10.04.25
The Research Training Group CAUSE invites applications for doctoral researchers full time, fully funded until finalizing the PhD degree for 3 years plus a potential extension of a fourth year. The remuneration is in accordance with E13 TV-L. Positions start between September and November 2025. Researchers from the three universities Hamburg University of Technology, University of Bremen, and Carl-von-Ossietzky University of Oldenburg jointly run CAUSE with funding from the German Research Foundation (DFG). CAUSE investigates Concepts and Algorithms for – and Usage of – Self-Explaining Digitally Controlled Systems. Digitally controlled systems are pervasive in our everyday life from transport to health-care. CAUSE aims at making digitally controlled systems self-explaining to the benefit of developers, operators, interoperability, and other systems. CAUSE is a research, education, and networking hub for future researchers. Topic-wise CAUSE covers all layers from system-of-systems over software stacks to digital hardware. Doctoral researchers in CAUSE will tightly interact to study cross-level effects of self-explanation considering a virtual wind park as a demonstrator. You have to have a Master of Science degree in Computer Science or a tightly related area (potentially ongoing, completed before September-November 2025). The full job add and further details can be found here: https://rtg-cause.github.io/apply Applications are due by May 1, 2025!
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09.04.25
The Data Engineering team welcomes its newest member.