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We’re looking for post docs interested in the Molecular and Genetic Epidemiology of Cancer (MAGEC). The MAGEC program is supported by a T32 training grant from the NIH and offers everything you need
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candidate for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders
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interests and expertise: IoT research and development, including sensor integration and communication improvement. Mechanism research and algorithm development for real-time monitoring and early warning to
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transfer.- Programming and algorithm development.- Excellent communication skills and fluency in written and spoken English.- Strong motivation and commitment to work in a collaborative and
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computational methods, working with large and heterogeneous datasets, evaluating algorithm performance and uncertainty, and translating research methods into reproducible scientific software and analyses. The
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, computational biology, numerical analysis of partial differential equations (including ice and ocean dynamics), computational statistics and machine learning, as well as algorithm design and discrete
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across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and
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algorithm design skills Expertise on ML tools for chemistry, in particular, generative AI Experience with Python, ML, and AI for chemical applications Job Description: A Post-doctoral Associate in
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation