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The position is funded for 3 years (65% TV-L E13), starting on January 1st, 2026, within the framework of the TTU HIV program of the German Center for Infection Research (DZIF). Project Description: Although
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(maria.manez@hereon.de) and Prof. Uwe Schneider (uwe.schneider@uni-hamburg.de). We offer #an exciting and varied job in a research centre with around 1,000 employees from more than 60 nations #you will benefit
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. Martina Neuburger (martina.neuburger@uni-hamburg.de). We offer #an exciting and varied job in a research centre with around 1,000 employees from more than 60 nations #you will benefit from comprehensive
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
. Jo-Ting Huang-Lachmann (jo-ting.huang-lachmann@hereon.de) and Dr. Benjamin Poschlod (benjamin.poschlod@uni-hamburg.de). We offer #an exciting and varied job in a research centre with around 1,000
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare