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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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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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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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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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/electrical engineering, or a related field.Strong interest in automation and laboratory robotics.Basic experience in wet-lab microbiology techniques.Willingness to learn programming and computational analysis
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degree or equivalent in Robotics / Aerospace / Mechatronics / Mechanical or Electrical Engineering, or related fields in Engineering or Computer Engineering Programming Skills: Design tools for Mechanical
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research environment operating at an international level, both in Belgium and Spain Dedicated training programs available through VIB and UAntwerp to broaden your expertise and enhance your skillset A
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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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training programs available through VIB and UAntwerp to broaden your expertise and enhance your skillset A stimulating and international research environment A strong and dynamic network of international