523 programming-"Multiple"-"Duke-University"-"O.P"-"FEMTO-ST-institute"-"U.S" positions in Denmark
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responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who
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study programme. List of publications and maximum 2 examples of relevant publications (in case you have any publications). References may be included, you're welcome to use the form for reference letter
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enthusiastic about contributing to the advancement and quality of the Physics and Technology education program offered by the institute and we will prefer candidates who bring experience in higher education
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Jesper Hattel and Associate Professor Chris
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and aim to develop a long-term research plan based on the clinical functions of the department. A particular focus will be on prostate cancer, including areas such as early detection, screening, imaging
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Associate Professor (Independent Group Leader) in Data Science and Modelling of Whole-Cell Biosol...
to pursue individual research endeavors, provided they align with the overarching goals of IBIS, and is designed to support your establishment of an independent and impactful research program at DTU
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characterization of photonic devices. Desired qualifications: Theoretical understanding of photonic integrated circuits. Experience with numerical modeling. Experience with Python programming. Additionally, we
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience