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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
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of memory, senescent, and exhausted T-cells with age. The PhD candidates will work on: Identifying key metabolic pathways involved in T-cell aging using advanced genetic models that allow for parallel CRISPR
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adaptation to different ecological needs and the evolution of insect societies. This poses a fundamental challenge to the evolution of olfactory neural circuits, which should occur in parallel
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timetable for the four-year project to be submitted to DAAD. Development of relevant analytical methods and setting up of required laboratory equipment will be conducted in parallel. Execution of the research