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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
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experience in bioinformatic analysis (bulk RNA-seq, scRNA-seq, proteomics) Excellent teamwork and communication skills Solid experience with flow cytometry and fluorescence-activated cell sorting (FACS) FELASA
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://www.hogberglab.net/ ). You will contribute to the ERC Advanced Grant project qScope , where you will create and improve existing bioinformatic tools and network algorithms to help us to map RNA or protein molecules in
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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a