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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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biology, biochemistry, bioinformatics, genetics, immunology, and/or microbiology; Fluent in English language and writing skills. Experience with one or more of the following is a plus: Flow cytometry
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communication skills. Candidates are required to have experience in one or more of the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics
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at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, machine learning/computer science, toxicology/forensic
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to the individual. The ideal applicant will be highly motivated; have a Ph.D. degree; research experience in one or more of the following cell biology, molecular biology, biochemistry, bioinformatics, genetics
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to increasing diversity and inclusion in the scientific community and encourage you to apply! Ideal candidates will have a background in computational biology, bioinformatics, evolutionary or population genetics
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-computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics -evolutionary biology -ecological genetics -metabolomics -proteomics -cell
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computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics -evolutionary biology -ecological genetics
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following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning
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genetics, bioinformatics, microbiology, or a related field. The successful candidate will be motivated, independent, have strong writing and communication skills, and be prepared to work in a dynamic team