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to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
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of single-molecule microscopy data in collaboration with theorists from other institutions YOUR PROFILE You should have obtained (or be about to obtain) a Master‘s degree (or equivalent) in Physics, Physical
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biochemical techniques to study details of antigen recognition and effector functions of autoantibodies Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc
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Universität Berlin. The position is part of the research group Quality.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project ‘GluAmin
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Financing yes Type of Position Full PhD Working Language English Required Degree Master Areas of study Physics, Experimental Physics Description Description For our BMBF-funded research project
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Description The group “Physics of molecular and biological materials” at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics (m/f/d, E13 TV-L, 50-75
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the chance to obtain further academic qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme “Productive Biofilm Systems” aims at, in
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at one of these three universities, you will participate in an intensive research, cooperation and exchange program jointly supervised by internationally renowned researchers from all three locations
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification