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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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experience with coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience
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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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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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experience performing in vivo biodistribution imaging to apply to an exciting project investigating antibody penetration in heterogenous tumor models. The postdoc will work closely with in vivo imaging
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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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Fellow to join The University of Queensland’s Node of the EarthBank Program — a newly established national geoscience initiative under NCRIS AuScope. EarthBank is a transformative program aimed at
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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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that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform