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"Multi-modal analysis of nucleic acids from liquid biopsies for cancer monitoring” Description The Translational Onco-genomics and Bio-Informatics lab (TOBI-lab; tobi.ugent.be) at the VIB-UGent is
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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to cutting-edge infrastructure and services. Profile Essential You have a Ph.D. degree in Biochemistry, Molecular Biology, Bio-engineering, Plant Biotechnology, Microbiology or equivalent You have maximum 3
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provides a highly interactive environment and ample training opportunities for its researchers. The opportunity to contribute to groundbreaking research in an inspiring, supportive and international
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motivated PhD students, one postdoctoral researcher, one bio-informatician and two technicians with whom you will work in close collaboration. Profile PhD in biochemistry/biotechnology, biomedical sciences
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provides a highly interactive environment and ample training opportunities for its researchers. The opportunity to contribute to groundbreaking research in an inspiring, supportive and international
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, and Fagales. Research Focus While the two positions will work closely together and share many responsibilities, they have slightly different initial focus areas: Position 1: Computational Genomics and
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spectral flow cytometry and microscopy (FELASA certificate required). Experience with -omic approaches and computational tools for data analysis is desirable. Solid publication record in peer-reviewed
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player
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the life sciences and have access to its state-of-the-art high-throughput computing facilities. Profile We are looking for a motivated postdoctoral researcher interested in studying human-associated