116 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"UCL"-"O.P" positions in France
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-CHANGE is an interdisciplinary research program aimed at enhancing neurological health resilience in the face of global change through a One Health approach. By collaborating with Luxembourgish and
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sciences, medicine), with a primary focus on the four year Midwifery Sciences Bachelor program. The holder will be involved in the selection of students, the establishment of the training plan, preparation
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at the department integrates basic and translational, molecular and computational approaches with a focus on cancer biology, as well as clinical research projects in human health and disease. The DLSM cooperates with
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close as possible to tumor sites to deliver its high-energy radioactive radiation, allowing the destruction of targeted the cells. Research program: Belonging to the halogen series, astatine exhibits in
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collaborates across disciplines with faculties at the University of Vienna, including the Faculty of Computer Science, which is closely related to interactive communication. https://publizistik.univie.ac.at/en
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interdisciplinary, and together we contribute to science and society. Your role Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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personnel and research funding (7M€) through institutional funds and FNR PEARL program funds Access to grant funding from both Luxembourgish and German funding sources What the role entails Establishing a
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analyse data, interpret and present results to a high standard using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C