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will include development of algorithms for heterogeneous computing architectures and implementation of AI/ML in a real-time environment. The candidate will also have the opportunity to conduct
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experience leading computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required. Required skills: · Experience with
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outpatient center dedicated to general pediatrics and neurodevelopment related divisions in pediatrics, genetics, and psychiatry. There are also State-of-the-art laboratories in a dedicated pediatric research
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oncology services for University and state-wide patient care. In addition, the individual will participate in our ACGME-accredited Laboratory Genetics and Genomics fellowship training program and participate
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molecular cloning, CRISPR, or genetic circuit design Experience with flow cytometry, confocal microscopy, or in vivo imaging (bioluminescence, fluorescence) Computational skills for data analysis, signal
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clinical research center, a new pediatric outpatient center dedicated to general pediatrics and neurodevelopment related divisions in pediatrics, genetics, and psychiatry. There are also State-of-the-art
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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program in environmental genomics. The postdoctoral researcher will have flexibility to define their own research agenda, but a successful candidate will be broadly interested in contributing to projects
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, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
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lab utilizes state-of-the-art molecular, biochemical, anatomical, electrophysiological, optogenetic, chemo-genetics, behavioral and computational approaches to elucidate neuroadaptations in neurological