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of statistics and mathematics are required. Training experience in artificial intelligence (such as machine learning and deep learning), experience working in a high-performance computing cluster environment, and
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interpersonal and communication skills across wet-lab, computational and facility teams Familiarity with high performance computing environments and reproducible workflows Experience providing support for spatial
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performance. The postdoc will apply their skills and expertise to develop tools to bridge this gap and solve our most cutting-edge drug delivery challenges. Responsibilities Generate new research strategies
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therapy program to expand professional network and research experience. The postdoc may be based at either our North Chicago, IL or Cambridge, MA sites, and will work closely in a collaborative and
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mentorship from Dr. Max Lau, and opportunities to work with leading experts, including: Wei Jin (Computer Science) Ben Lopman (Epidemiology) Katia Koelle (Biology/Virology) Postdocs will be supported in
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contribute to cargo selectivity. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist
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teams. The Opportunity: Opportunity to work closely with computational colleagues to analyze, evaluate, and perform integrative computational analyses. Leverage multimodal high dimensional data to explore
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ability, including proficiency in C++/ Fortran, Linux, bash, git, Python / Matlab and NetCDF and experience working with high-performance computing environments and github. Demonstrated high level
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guidance for computational modeling of the data Publish research in peer-reviewed journals and present work at scientific conferences aligned with business objectives Demonstrate a high degree of
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therapy program to expand professional network and research experience. The postdoc may be based at either our North Chicago, IL or Cambridge, MA sites, and will work closely in a collaborative and