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modeling the dynamic of the data evolution is clearly important. The purpose of this postdoc position, within the Institut 3IA Côte d'Azur (Univ. Côte d’Azur & INRIA), will be focused on the development and
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biology, multi-scale imaging, and evolutionary cell biology. You will work closely with the group leader to coordinate and assist PhD students and postdocs in achieving the laboratory’s scientific goals. In
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of Computer Science (DCS) investigates and contributes to shaping the information and communication technology-society interface. DCS promotes interdisciplinary research and closely cooperates with other high-profile
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laboratory and collaborative meetings. Collaborate actively with scientists performing wet bench experiments (PhD, postdocs). Interact productively with other bioinformatic engineers or researchers on Institut
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improvement/adaptation of techniques and analyses according to research projects Skills • Education: – Master’s degree in neuroscience, biophysics, engineering, computer science, or a related field • Desired
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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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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with
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of Engineering (DoE) is interdisciplinary and active in the classical domains of civil, electrical, mechanical, and computational engineering. The focus of research is on the development of technological
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profile Bachelor's degree or equivalent in computer science, engineering, data science, or another field but with equivalent and proven experience First experience of collaborative research, research data
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of bioinformatics, biology, or related fields - M.Sc. is required. Key qualifications and qualities include: Experience in bioinformatics/computational biology; experience in protein structure prediction is