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collaboration with our wet-lab team and collaborators, you identify and integrate validation data In collaboration with the VIB.AI ML unit, you manage a large codebase containing the harness, interpretation
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Practical experience with several relevant cleanroom techniques, such as photolithography, thin-film deposition, plasma or wet etching, metallization, wafer bonding, or thin-film patterning Experience in
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primarily for wet lab but there will be strong interactions with our collaborator Ken Duffy (Northestern University, Boston, US). Where to apply Website https://gestiononline.bioef.eus
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one referee In case of questions, please reach out to [email protected]. https://vib.be https://vib.ai https://vib.be/en/research-and-impact/research-centers/center-inflammation-research#/ https
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or applied) genomics, molecular biology, (epi)genetics, systems biology or related disciplines. Demonstrated wet lab experience; preferably in (single-cell)-omic techniques, for example sn-Multiomics, ATAC-seq
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
, such as fusion gene identification and somatic short-variant calling and interpretation. Through close collaboration with wet-lab scientists and the industry partner, the candidate will build robust
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
cluster annotation, marker identification, differential expression analyses to derive actionable biological insights. Working closely with wet-lab scientists and the industry partner, the candidate will
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of dry and wet lab scientists at the University of Helsinki. We also collaborate broadly both within our University and internationally, so you would be part of a broad, active and versatile research
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you keep records: every sample traceable to a reactant batch, a route and a date. Meriting experience, roughly in order of priority Air- and moisture-sensitive preparative chemistry: alkali metals and
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
-scale deep learning, ideally applied to protein or nucleic acid sequences Ability to work independently and to translate diverse scientific use cases (brought by wet-lab and computational colleagues alike