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partnership with the Odysseus Space company as part of the Simulator development for the optical slant path program. This PhD project aims to develop an analysis tool for the optical ground-to-satellite links
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management Guide M.Sc. students Participate in a dedicated training plan For further information, please contact Prof. Gabriele LENZINI at info- and Prof. Pedro CARDOSO-LEITE Your profile The ideal candidate
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Knowledge of electronics, programmable logic, and processing systems is an advantage Strong analytical and programming skills are required (Python, VHDL, Matlab, and C/C++). Prior proven experience in data
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collaboration with the candidate, a detailed research plan will be drafted aiming to unravel mutational robustness and evolvability in Escherichia coli. The work will involve genome editing (CRISPR), genetics
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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, funded by the European Commission’s Horizon Europe programme. You will be based in Brussels, Belgium and will enroll as a PhD student at Vrije Universiteit Brussel (VUB). The main line of research will be
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, biochemistry, genomics, bacterial genetics and bioinformatics. You can work both independently as well as in an international team You can plan and perform laboratory experiments accurately You have strong
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the acquisition of a doctoral degree. The research programme of these individual researchers will be integrated into a set of 8 work packages that include the participation of 16 highly-reputed European academic
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double) PhD program between Ghent University and their home university. Students selected under this preference program will be exempted from paying tuition, bench fees, or any other study-related costs