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Applicants should hold (or be close to completing) a PhD in biology, bioinformatics, genomics, or molecular physiology. We particularly welcome candidates with: Expertise in experimental genomics, cell biology
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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, mechanical and durability testing, and integration with advanced machine learning models. The postdoc will collaborate closely with CEBE’s parallel work packages. Experimental and analytical data generated in
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CRISPRi-based pathway perturbation assays Analyze and interpret complex molecular datasets in close collaboration with bioinformatic experts Contribute to scientific publishing and dissemination of project
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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, which also encompasses single-cell resolution spatial transcriptomics of human plaques to precisely identify and characterize disease-relevant smooth muscle cell phenotypes, a parallel track of organoid
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paralleling SiC MOSFETs and power modules and must have experience with hardware methods to attenuate the oscillations successfully. Your experimental experience must be relevant to the tasks and obtained from
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to fermentation processes and synthetic biology. Mapping and aligning the developed ontology with existing external biological or industrial ontologies (e.g., CHEBI, BFO). Documentation and Reporting: Preparing
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2