68 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Belgium
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single-cell mass spectrometry-based proteomics. First under control conditions to establish the methodology and, secondly, under abiotic stress conditions. Profile Essential You have an international PhD
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subteam, working closely with an experienced lab technician, two dedicated PhD students, and two postdoctoral researchers on a project focused on in vitro screening methods, including the use of organoids
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will contribute to attracting national and international research funding. You will assist in the supervision of PhD students and other team members. If necessary, you will fulfill a limited number of
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, collaborating closely with other bioinformaticians, as well as cancer cell and molecular biologists, clinicians and pathologists. Profile Essential Requirements PhD in Bioinformatics, Computational Biology
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applications in fundamental research, biotechnology and synthetic biology. Our multidisciplinary research combines high-throughput genome editing, state-of-the-art genomics methods, and computational biology
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strong interest in developmental, cellular or molecular neurobiology, in link with human brain evolution and diseases. PhD in neuroscience, genetics, evolutionary biology or related field. Experience in
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Engineering in Ghent University (UGent), Belgium. We are looking for an enthusiastic scientist with a PhD degree to work on NitroScop EC funded project, aiming at providing a comprehensive understanding of soil
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strong interest in developmental, cellular or molecular neurobiology, in link with human brain evolution and diseases. PhD in neuroscience, genetics, evolutionary biology or related field. Experience in
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applications in fundamental research, biotechnology and synthetic biology. Our multidisciplinary research combines high-throughput genome editing, state-of-the-art genomics methods, and computational biology
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? You have a strong background (PhD) in single cell/spatial omics technologies and implementation. Having successfully applied state-of-the-art genetic engineering technologies (such as CRISPR/Cas9