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bioinformatics are invited to apply. The candidate will be supported by a NIH grant to explore emerging areas in regulatory T cell biology. Please contact for more details. Beyond the unparalleled benefits
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, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2, PyMOL, Chimera, etc. Interest in
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bioinformatic approaches, and their functional characterisation. RESPONSIBILITIES: Planning, execution and analysis of experimental work Identification and prioritisation of genetic causes of non-obstructive
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efforts to move the technology’s capabilities towards that of conventional digital data storage by developing and adopting existing bioinformatics tools for data encoding, decoding and error correction in
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics
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range from cell biological over biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in
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qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant must be proficient in programming in Python and Java script. Have strong cooperation and
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or more of the following areas as demonstrated through at least one first-author publication: machine learning/computer science, computational biology/bioinformatics, cheminformatics. Individuals should
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experience in one or more of the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, metabolism/metabolomics, analytical chemistry/mass
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chemical biology techniques, including LC-MS metabolomics, flow cytometry, mouse model studies, genomics, proteomics and bioinformatics. CORE JOB FUNCTIONS The fellow will investigate the role