90 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" PhD positions in Belgium
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programming. Knowledge of C and C++ is a must. Previous hands-on experience with wireless technologies such as Bluetooth Low Energy or Ultra-WideBand is a plus. You can plan and carry out your tasks in
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signal strength can be observed at different locations. Co-located Wi-Fi access points sharing the same spectrum compete against each other rather than collaborate to serve users. In this PhD position, you
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live in. Your role The PhD candidate will generate and study complex macroscopic flow patterns of LCE precursors, polymerize the precursors into LCEs programmed by the flow patterns, and study the
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student will be carrying out these research activities, including also coordinating work with the different partners involved in this WP.
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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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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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/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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different backgrounds (one in deterministic optimization and algorithms, the other in stochastic optimization and simulation), to ensure you have immediate access to a broad area of relevant expertise within
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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