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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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an interdisciplinary environment, very good communication skills in English; willingness to acquire German language skills is expected and will be encouraged Desirable skills PhD in biodiversity informatics
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, biologists, and computer scientists at the Universities of Tübingen and Hohenheim and the Senckenberg Institution of Biodiversity and Earth System Research in Frankfurt, investigating how the interactions
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Application Deadline 8 Oct 2025 - 10:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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information should be integrated or not. For this purpose, we will use psy-chophysical and neurophysiological methods as well as computational modelling. Tasks in the project include:•Planning and conduction
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to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong basic research program, our long-term goal is to develop innovative therapeutic approaches to better
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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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International Max Planck Research School for Molecules of Life (IMPRS-ML) | Germany | about 2 months ago
the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our network
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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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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta