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include: Biomedical sensing and physiological monitoring Edge intelligence and energy-efficient machine learning hardware Radar and wireless signal processing and communications The successful candidate
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data according to research specifications. Uses a computer terminal to input and retrieve data and to generate reports Processes and summarizes data using scientific or statistical techniques. Assists in
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. Position Overview The successful candidate will develop and apply advanced computational and machine learning methods to large-scale genomic, clinical, and imaging datasets, working across one or more of the
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. Required Qualifications PhD, MD/PhD, or equivalent doctoral degree by the start date Strong background in cell biology, molecular biology, biochemistry, metabolism, physiology, genetics, chemical biology, or
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using Yale SPORE lung cancer biobank material Publish first-author papers, present at meetings, and help mentor junior lab members Required qualifications: PhD, MD, or MD/PhD in cell/molecular biology
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: Postdoctoral Compensation Qualifications: • PhD, MD, or equivalent degree in microbiology, mycology, molecular biology, biochemistry, pharmacology, or related disciplines • Strong publication record and
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normative concerns to shed light on substantial social problems. We welcome applications from new PhDs in political science, economics, philosophy, business, and related social sciences working on furthering
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and mouse models of cerebrovascular disease Contribute to study design, interpretation of results, and preparation of manuscripts and presentations Required Qualifications PhD in molecular biology, cell
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Correction Circuits Design of parametric processes and quantum control of driven non-linear quantum devices Quantum computer architecture, hardware- and noise-aware compilers Computation with Dynamic Circuits