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problems in biology by combining machine learning with in-depth knowledge of biological processes. Who we are looking for You have a Master in Science (Bioengineering, Biochemistry-Biotechnology, Biomedical
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procedure. If you have any questions about the online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be . For more information, you are welcome to contact
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. Execute a variety of wet-lab experiments, including molecular biology techniques like PCR, qPCR, and Western blotting. Process mouse tissues (e.g. liver digestion and cell isolation), followed by downstream
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. The applicant is expected to apply for their own fellowship, and will be fully supported during the process Access to state-of-the-art infrastructure and core facilities in a vibrant, world-class
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. Starting date: as soon as possible. Stimulating international work environment in a great team How to apply? Please complete the online application procedure and include a detailed CV, and a motivation
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the team in daily research. The successful candidate: has knowledge in general wet lab practice (e.g. tissue processing, DNA/RNA processing, molecular biology) and willingness to learn new techniques
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), therefore we ask you to apply in English. Please complete the online application procedure and include a detailed CV, a motivation letter describing previous research experience and the names and contact
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heterogeneity has been widely studied using transcriptomics approaches, however, the exact microglial subtypes involved in physio and pathophysiological processes remain to be elucidated. By applying spectral
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genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at www.psb.ugent.be for more
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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