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to decipher the regulatory code controlling gene expression in plants through the engineering and large-scale validation of synthetic promoters. Within the ERC-funded multiCODE project, we aim
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to integrate immunology, stem cell technology, and Parkinson’s biology. Supervise junior colleagues, contribute to grant writing, and disseminate findings through high-impact publications. Requirements PhD in
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, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as demonstrated by peer-reviewed publications in international journals. Having good
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. Make sure that your application includes: A detailed CV A one-page summary of past research activities (e.g. in PhD/PostDoc projects) A one-page letter of intent describing your motivation
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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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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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resources as well as guidance from a multidisciplinary team of students and postdocs. Interested? Check out our laboratory and publications on https://raeslab.sites.vib.be/e... and/or https
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in (plant) molecular biology or biochemistry with max. 4 years of postdoc experience. You are an expert in molecular biology, biochemistry and/or (plant) biotechnology. You have guided (master/PhD
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, biology, chemistry, engineering or a related field Should be creative, enthusiastic, critically thinking, and motivated Ready to work against stringent deadlines Enjoys teamwork and has excellent oral and
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datasets for single nucleotide variants, structural variants, and tandem repeats relevant to FTLD Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate