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-disciplinary research program that couples clinical, computational and basic research, epitomizing our bench-to-bedside philosophy. The position will leverage a combination of cutting-edge techniques
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stand at the forefront of translational research in liver cancer. You will lead your own interdisciplinary project within a diverse team of experimental and computational biologists. You will have a
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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to detail; Strong time management skills with a proven ability to multitask and work successfully with little supervision; Mastery of one or more programming languages commonly used for computational social
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publications. Required Qualifications* PhD (or equivalent degree) in neuroscience, data science, biomedical engineering, computational neuroscience, psychology, or a related field. Hands-on experience and high
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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Qualifications* PhD in data science, statistics, computer science, AI, or a related field. Experience building end-to-end web applications with Python (Django/FastAPI), REST APIs, relational databases, and modern
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week, must be available weekdays, evenings and weekends as needed. Who We Are The Aging and Biopsychosocial Innovations Program is part of the Survey Research Center at the Institute for Social Research
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health. MICHR is seeking a Design Researcher to work collaboratively with members of the Translational Innovation Program (TIP) to implement both evaluative and generative research methods that will drive
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both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials, complex hydrodynamics and hydroacoustics