1,051 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"U.S" PhD positions
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- or nanoplastics, online or offline ice nucleation experiments. A good knowledge of programming languages such as Python, R, MATLAB or IGOR is expected. Excellent English skills, both in verbal and written
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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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qualitative and/or quantitative data analysis. Exposure to policy and program development in an Aboriginal community-controlled organisation. Contribution to real-world projects with measurable community impact
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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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a number of questions relating to the accuracy of this kinematic data, and this forms the basis of this research programme. This project has the potential to redefine the future of biomechanical
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uncovering fundamental principles of microbial interactions, resilience, and adaptation. We are expanding our bioreactor cultivation program and opening three PhD positions that will shape new cultivation
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requirements To be employed as a PhD Research Fellow, admission to a doctoral program is required, or there must be a binding agreement for admission. Normally, one must apply for admission to a PhD program
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At The Faculty of Social Sciences and Humanities, Department of Society and Politics, a PhD.-stipend is available for appointment within the Doctoral Programme of Social Sciences and Humanities
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computer science or a related field, with an interest in semantic technologies (ontologies, semantic querying) and information extraction. It is important to have strong programming skills, to prototype
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and