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About the lab Research at the VIB-KU Leuven Center for Microbiology (CfM) aims to increase our basic understanding of microbes and higher organisms, and translate this knowledge into environmental, industrial and medical applications and new innovative biotech companies. The Laboratory for...
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. External and internal post-doc researchers who are eligible to submit an FWO or MSCA post-doc application are invited to apply. The top ranked candidate(s) with the best profile (project proposal & CV
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. External and internal post-doc researchers who are eligible to submit an FWO or MSCA post-doc application are invited to apply. The top ranked candidate(s) with the best profile (project proposal & CV
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project that combines cutting-edge approaches including state-of-the-art imaging techniques, pluripotent stem cell models, in vivo mouse models of neurological disorders, drug (brain) delivery and nanobody
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journals. Excellent teamwork, communication skills, and a commitment to advancing the field of neuroimmunology. You comply with the FWO Post-doc and Marie Sklodowska-Curie Post-doc eligibility criteria. We
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brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
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, Belgium. Its mission is to unravel plant biological processes and translate this knowledge into value for society. The Functional Phosphoproteomics group (https://www.desmetlab.be/), tackles early
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in-depth knowledge of biological processes. Your tasks You will play a pivotal role in the development, validation and benchmarking of bio-informatic (Nextflow) pipelines for the multi-modal analysis
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this specificity and test how these regulate structure and function of higher-order thalamocortical inputs in cortical circuits. The applicant will use various technologies, including super-resolution imaging
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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