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and cancer. Individuals with backgrounds in stem cell biology, cancer biology, molecular biology, immunology, and bioinformatics, are all welcome to apply. Lab techniques include mammalian cell culture
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probing experiments Data analysis Publications in peer-reviewed journals and presentations at international conferences Supervision of trainees and students This is part of your profile: A PhD degree in
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD. Doctorate-level degree (or foreign equivalent) in a field relevant to human brain imaging
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Qualifications: Doctoral degree (PhD or equivalent) in Genomics, Bioengineering, Biology, Biochemistry, or a related field. Experience in developing single-cell sequencing technologies is highly desirable. Prior
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication
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Alamos National Laboratory invites applications for one or more postdoctoral positions in Theoretical High Energy Physics, to begin in the Fall of 2026. Candidates are expected to have obtained a PhD in
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, especially in the context of scientific writing and presentations A collaborative mindset and enthusiasm for interdisciplinary research As a formal qualification, you must hold a PhD degree (or equivalent). We
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of research projects, complete experimental tasks, and write research papers. Responsible for writing and participating in subject experiments. Qualifications 1. PhD in relevant biomedical or biochemical
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or commensurate with experience Type of Position Student Position Time Status Full-Time Required Education PhD or MD Required Related Experience Biomedical Sciences Required License/Registration/Certification NA
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toxicology, with strong preference for proficiency in bioinformatics and programming to analyze and present results from large genomic datasets including bulk-RNA and DNA sequencing, single-cell sequencing