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In cooperation with Max Planck Institute for Biological Intelligence Ludwig-Maximilians-Universität München Technische Universität München Teaching language English Languages The language of
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not least, provide new insight for designing efficient strategies for teaching and learning. Students who have completed the doctoral programme will have the ability to communicate across these diverse
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and cell-based basic pharmacology. Collectively, CPPEM has a strong background in exposure to environmental chemicals, pharmacoepidemiology, pharmacogenetics, pharmacokinetics, drug-drug interactions
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contribute 1) to the analysis methods and metrics for understanding the complex interactions between forage resource and dynamics; 2) to develop Machine Learning methods for analysing sensor data on animal
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predict food-effector systems. Key Responsibilities • Develop graph-based (multi-)omics analysis algorithms • Benchmark graph-theoretic against graph-ML approaches • Analysis of food-related (multi-)omics
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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17 Feb 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Application Deadline 16 Feb
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Learning Agreement is completely filled in and signed, dated and stamped where necessary! Language skills Your knowledge of Dutch and English. Please consult the language requirements in order to prepare the
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opportunity to acquire interdisciplinary research skills. As a part of the TRR 333, the doctoral candidates will deal with crosstalk between cell organelles, cells, tissues and organs and investigate
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algorithms (such as machine learning or clustering). Familiarize with the multi-level data and how to model them in a polystore architecture [2] or similar (Month 1 – 12). Develop an environment to test the