21 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of Groningen
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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are looking for candidates who meet the following requirements A PhD degree in molecular biology or biochemistry. Familiarity with protein modeling tools and software solutions. Knowledge and skills in protein
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an interdisciplinary team of project partners from the Dutch MedTech industry. Collaborate with other postdocs and PhD students in the research group. Organisation Since its foundation in 1614, the University
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with an interdisciplinary team of project partners. Collaborate with other postdocs and PhD students in the research group. Organisation Since its foundation in 1614, the University of Groningen has
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living cells. Identify regulatory RNA switches involved in cell fate determination using both cancer cell lines and embryonic stem cell models of cell differentiation. Design and screen therapeutics
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to involve the postdoctoral researcher in the supervision of a PhD-candidate, and we encourage and facilitate publishing and attracting research funding beyond the involvement in PERSIST. In short, we try to
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the following requirements: A PhD degree in Chemical Engineering, electrochemistry, or related fields. Solid knowledge and demonstrated skills in one of the following areas: coordination chemistry
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PhD degree in Chemistry, Material Science or related filed. Solid knowledge and demonstrated skills in polymers chemistry are essential; expertise in physical organic chemistry, coatings and formulation
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the supervision of PhD candidates and we encourage pursuing publishing and attracting research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own
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please use the following link: www.rug.nl/research/ape Qualifications Candidates should have a PhD degree in materials science and engineering. A strong background in chemical vapor deposition and