41 programming-"https:"-"https:"-"https:"-"IFM" PhD scholarships at Technical University of Denmark
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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Job Description We are looking for a highly skilled and motivated organic synthetic chemist for our program within carbohydrate chemistry and oligosaccharide synthesis. You will join the team
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micronutrient researchers in our international and interdisciplinary program, MICROSUNSET brings together experts from several disciplines as supervisors, forming a consortium of seven beneficiaries (see above
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micronutrient researchers in our international and interdisciplinary program, MICROSUNSET brings together experts from several disciplines as supervisors, forming a consortium of seven beneficiaries (see above
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Job Description Join a young research group dedicated to transforming materials discovery from empirical exploration to predictive design. Our research program builds on a synergy of high-throughput
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experimental fluid mechanics Enthusiasm, creativity, and a can-do attitude Programming skills (Ideally PALM-4U, Python / MATLAB or similar) Excellent communication skills in English (both spoken and written) You
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., cloning) and/or genome engineering Experience with mammalian cell culture (cell lines; experience with primary immune cells is an advantage) Experience with Programming/data analysis skills Interest NGS
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micronutrient researchers in our international and interdisciplinary program, MICROSUNSET brings together experts from several disciplines as supervisors, forming a consortium of seven beneficiaries (see above
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will benchmark the developed methods against state-of-the-art methods for stochastic programming as well as testing the solvers on real-life problems. When benchmarking against state-of-the-art methods