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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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, 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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, 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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research and develop novel electrochemical sensing strategies for nucleic acid detection. You will develop new research projects according to the strategic plan of the research group A-PECS and you compete
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: effectiveness of the work plan, risk assessment, and overall appropriateness. A template will be provided to the preselected candidates. Preselected candidates will have the opportunity to participate in MSCA and
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lab focuses on the characterization of plant signaling networks that steer plant specialized metabolism within tightly regulated fitness programs, in particular those modulated by stress hormones
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, or related fields Strong programming skills in Python, R, and experience with Linux environments Demonstrated experience in processing and analyzing large-scale genomic and transcriptomic datasets
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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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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
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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