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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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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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, 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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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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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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communication skills, with an ability to work independently and collaboratively. Desirable skills Experience with Spectral flow cytometry Experience with myeloid cells biology Basic/intermediate programming
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to the department's emanation of science in society and to the training of master students. For PhD students, this is an obligatory part of their doctoral training program. The position is immediately available
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training program. The position is immediately available. Profile Essential A master/PhD thesis in a relevant field (structural biology, molecular biophysics (applying ITC, spectroscopic techniques
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analysis software, such as MZmine Programming skills in R Hands-on experience with untargeted high-resolution mass spectrometers Key personal characteristics Willingness to participate in interdisciplinary