39 algorithm-"Multiple"-"U"-"Prof" "NTNU Norwegian University of Science and Technology" positions at Zintellect
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of approximately 1.7 million square feet and high-performance computing facilities at the DOD Supercomputing Research Center. This opportunity has multiple projects based out of the ERDC Field Research Facility in
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machine learning algorithms for various research projects creating medical image automation algorithms writing combat casualty care relevant military research proposals preparing manuscripts for submission
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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the reference genome, we will sequence multiple isolates from various Calonectria species to investigate population diversity and evolutionary relationships. RNA-Seq–based gene expression analysis will be
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the appointment start date. Preferred skills: Knowledge and experience in multiple programming languages and platforms (eg Python, perl, C/C++, R, and SAS). Familiarity with NGS based sequence analysis including
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agencies and institutions, including federal, state, tribal, conservation organizations, forest sector, and universities. It will be essential for the fellow to balance multiple responsibilities, to clearly
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agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: This project evaluates the performance of multiple Rainbow
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: This project evaluates the performance of multiple Rainbow trout lines, bred for disease
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you for multiple applications in Zintellect, they must click the unique link in each email request, but will be given the opportunity to copy over what they had previously submitted. All documents must
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to potential mentors. This personal connection can be the key to “standing out” from other applications. The RSI programs use "pool" based application postings where multiple mentors will consider candidates