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controlled liquid and gas/vapour conditions. Quantify reaction kinetics, peptide loading/release and selectivity using complementary analytical methods such as UV/Vis spectroscopy, mass balance and, where
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care and clinical nutrition? Are you motivated to advance diagnostic approaches for accurately estimating individual metabolic demands in critically ill patients using innovative analytical methods? We
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chemistry and study the physicochemical properties of peptides loaded into the materials. Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands
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attitude combined with a hands-on mentality and interest in application-oriented research in collaboration with the industry Analytical skills, initiative and creativity are valuable properties Ability
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methods (such as handwritten text recognition, natural language processing, statistics, etc) or willing to acquire and develop your skills in these methods Strong analytical and academic writing skills
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questions. The candidate should be organized, curious, analytically rigorous and comfortable learning unfamiliar methods. Good written and spoken English is essential. Research motivation: a clear interest in
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students and taking on limited teaching duties. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply
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% of your time), including tutorials and supervision of Bachelor’s theses. This is what we ask of you This is an interdisciplinary project that combines machine learning and AI, probabilistic risk
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neurological populations. Additional responsibilities may include mentoring BSc and MSc students and taking on limited teaching duties. Would you like to learn more about what it’s like to pursue a PhD at
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machine learning and AI, probabilistic risk modelling, hydrology and actuarial science. We realize that candidates will usually have expertise in one of these fields and ask for a genuine interest in the