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leading role in developing and implementing predictive algorithms designed to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi
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by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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role of drug transporters and drug-metabolizing enzymes in these processes. Both transporters and enzymes are influenced by multiple factors, including naturally occurring genetic variants, which
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targeting cancer as well as metabolic, neurodegenerative, autoimmune and infectious diseases. Leveraging innovative platforms such as novel biosensors, gene switches, genetic closed-loop circuits, and
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information from these natural fungal isolates to build hypotheses for which genetic features are essential for horizontal transfer. Job description Generate new long-read Nanopore assemblies from the labs long
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genetically modified mouse models. Experience with spectral flow cytometry is essential. Experience with cell sorting, preparation of tissues for RNAseq and confocal microscopy analysis is highly desirable