41 software-formal-method-phd Fellowship positions at Nature Careers in United States
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PhD graduate in immunology, molecular biology, cell biology, biochemistry, or related fields Strong expertise in innate immunity, cancer immunology, or molecular biology Prior experience with immunology
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: · PhD or M.D. with a strong background and profound knowledge in the field of either molecular biology, immunology, cancer biology, experience in sequencing or protein structural data analysis is highly
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editing with CRISPR/Cas9 systems. Strong background in cancer research with a proven track record of publications. Proficient in molecular and cellular biology methods (e.g., cell culture, PCR, Western
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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research independence. Candidates are expected to have no more than four years of post-PhD research experience. Extensions to this time period will be considered in circumstances that support our commitment
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backgrounds, a strong interest in understanding differential protein expression in in vivo samples and development of methods to further assess, identify and validate potential targets is required. Our
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and communicating study outcome in cross-functional project teams and working across various platforms and programs to achieve results Qualifications The candidate must have a PhD, or MD/PhD with
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protein biochemistry with technical expertise in protein expression and purification using mammalian or insect cell systems as well as basic molecular biology techniques. Experience in structural methods (X
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PhD, MD or MD/PhD. Interested candidates must have 1) a strong background in biochemistry, cell biology, molecular biology, or a related discipline, 2) a solid publication record, and 3) scientific
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therapy. Qualifications MD, MD/PhD, or Ph.D. in molecular cell biology, human genetics, systems biology, or related fields. Experience with some – but not necessarily all – of the following techniques: PCR