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or equivalent in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD
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Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
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fields: cell cycle control and protein degradation by the ubiquitin-proteasome system. Our work focuses on both tumorigenesis and normal biology, and our overall goal is to apply new mechanistic insights
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, tolerance, and cancer. We investigate the potentials of reprogramming cell death to influence pathological conditions. We combine cutting-edge cell biology, biochemistry, immunology, oncology, and
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the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will equip the next
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, Computational Biology, or a related field Research experience in T cell immunology, autoimmunity, high-throughput screening, and/or single-cell technologies Demonstrated creativity, independence, and a
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. The Medical University of Vienna provides an excellent research environment including state-ofthe-art research core facilities and an international PhD program and various platforms which bring together
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
molecule and vaccine candidates. Postdoctoral preceptors associated with the program are drawn from the departments of Infectious Diseases, Structural Biology, Chemical Biology & Therapeutics, Immunology and
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(or near completion) in computer science, machine learning, statistics/biostatistics, computational biology, data science, physics, or a related field. Experience with modern deep learningframeworks (e.g