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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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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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elegans (C. elegans) as a model system with approaches including: Quantitative genetics (GWAS/QTL mapping) High-throughput phenotyping RNA-seq and multi-omics integration Functional genomics (e.g., RNAi
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subdisciplines of the life sciences—including cell and molecular biology, genetics, biophysics and physiology, anatomical structure, histology, neuroscience, and imaging—to solve complex health problems from a
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subdisciplines of the life sciences—including cell and molecular biology, genetics, biophysics and physiology, anatomical structure, histology, neuroscience, and imaging—to solve complex health problems from a
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teaching environment. Our long-standing strength lies in integrating various life‑science fields – from cell and molecular biology and genetics to anatomy, neuroscience, musculoskeletal biology, histology