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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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contact Prof. Alexandra Simonenko (Alexandra.Simonenko@UGent.be)
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. For more information about this vacancy, please contact Prof. Robrecht Raedt (Robrecht.raedt@UGent.be , +32(0)9/332 02 69)
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(physical chemistry), materials science, or chemical/materials engineering, with a strong passion for experimental physics and a background in soft matter (chemical) physics. Proficiency in programming
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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, an excellence-based research institute KU Leuven, one of Europe’s leading research universities State-of-the-art research facilities An extensive VIB and KU Leuven training program to broaden your
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the capacity to independently plan and execute research with precision. A keen interest in nanobodies, drug delivery, and/or brain barriers is essential, accompanied by hands-on experience in molecular biology
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dynamics of BLA to PFC connectivity and function; (2) identifying the molecular programs during critical developmental windows that influence BLA to PFC connectivity; (3) investigating the plasticity and
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programming languages including bash scripting, MATLAB, C/C++, Golang, and Python Working knowledge of free5GC/OpenAirInterface/srsRAN open-source software stack. Practice in other open-source mobile network
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Excellent communication skills in English Desirable but not required Skills in phytoplankton genetic engineering Hands-on experience with high resolution mass spectrometers and/or data analysis Programming