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Hematology/Medical Oncology) and UPMC Hillman Cancer Center. This position is jointly supported by NIH and intramural funding. The successful candidate will engage in bioinformatics research to systematically
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PhD position / Postdoc position (all genders) in AI for biomedical data analysis Full time/ Part time | Temporary | Hamburg-Eppendorf UKE_Zentrum für Molekulare Neurobiologie (ZMNH) Better together
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. Applicants should hold a PhD in Computational Biology, AI/ML, Computer Science, Population Genetics, Bioinformatics, or a related field, and have fewer than five years of postdoctoral experience. Strong
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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of an independent scientific career. Requirements PhD in Neuroscience, Bioinformatics, Computational Biology, or related field Proven track record in relevant techniques for the position applied Proficiency in
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Requirements PhD in bioinformatics, biochemistry, molecular biology, or a related field Background in bioimage analysis and spatial omics is welcome; a genuine interest in these areas is essential Ideally
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scientific exchange. Qualifications: Applicants should have obtained (or be close to obtaining) a PhD within the past three years in life sciences, medicine, pharmacy, biomedical engineering, computer
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transcriptomics, untargeted metabolomics, quantitative proteomics. Computational and AI approaches: microprotein bioinformatics, multi‑omic integration, protein language models, generative sequence design, and
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general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and experimental immunology colleagues. As a formal qualification, you must hold a PhD
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biology, bioinformatics, computer science, biology, or a related discipline, Strong interest in applying quantitative approaches to complex biological and biomedical questions Solid computational skills