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Field
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sciences or related fields). The successful candidate must have a background in bioinformatics for omics data analysis (e.g., (meta)genomics, (meta)transcriptomics, proteomics, and metabolomics data
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for this position. Work Experience: No specific work experience is required for this position. Skills: Animal Models, Bioinformatic Analysis, Cell Cultures, Communication, Critical Thinking, Library Construction
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immunology, flow cytometry, and or cellular metabolism, and should have a strong foundation in bioinformatic analysis. (Examples of previous work includes PMID 35169026, 35256539, 32125282). The position is
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in a well-stablished, well-funded research group, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore
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from doctoral work is required. Experience in cancer research and bioinformatics analysis is desirable but not essential. Supervision Exercised None To apply: Please apply via Academic Jobs Online (https
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on cancer or metabolism-related diseases like obesity and diabetes should not apply). Evidence of publication from doctoral work is required. Experience in cancer research and bioinformatics analysis is
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Cytometry Innate immune system experience Molecular biology Biochemistry Metabolism Cell culture Bioinformatics Knowledge, Skills and Abilities: Ability to communicate effectively, both in writing and orally
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, bioinformatics and computation skills are highly desirable. The candidate must have strong written and oral communication skills, be highly motivated, independent, intellectually creative, and function well as
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong