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full translational pipeline — from developing and optimizing cell enrichment and molecular profiling workflows, through single-cell characterization of circulating tumor-associated cell populations
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. Using controlled in vitro exposure experiments combined with high-resolution analytical techniques (HPLC, ICP-MS, Seahorse XF), the PhD student will characterize MN kinetics, dose-response relationships
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of programming, software engineering and model-driven engineering Good command of English (written and spoken) Knowledge of German would be an advantage (for courses in the foundation year) Leadership and
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stimuli-responsive soft material. Controlled external stimulation will deform the material and generate spatially and temporally defined forces at the cell–material interface. You will develop analytical
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activation, reliability, robustness and the fact that they are maintenance-free. Despite these many advantages, the exact mechanisms that control performance in industrially utilised thermal batteries has
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment
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, experience with longitudinal analyses is a plus; experience with, or knowledge of, focus groups and analysis of qualitative data; an excellent spoken and written command of English (as you will write
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research project. Good command of English. Previous experience with neuronal/cell cultures, fluorescence microscopy, image analysis, electrophysiology and/or mouse models will be positively valued but is not
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methods and scheduling problems as well as optimization packages such as Pyomo. You enjoy programming and have experience with Python, machine learning, command-line tools, version control. TU Delft (Delft
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generation in PBMAs; contributing to the development and optimization of analytical methods; publishing your results in peer-reviewed scientific journals and presenting them at (inter)national scientific