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and handle multiple tasks while meeting deadlines set up/type/edit copy in a variety of formats work with staff in other campus offices use computer and learn new software operate printers/scanners
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and handle multiple tasks while meeting deadlines set up/type/edit copy in a variety of formats work with staff in other campus offices use computer and learn new software operate printers/scanners
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
numerous ongoing activities associated with multiple concurrent research projects of Dr. Julia Rager, Dr. Rebecca Fry, and the Institute for Environmental Health Solutions (IEHS). The Data Analyst Project
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. Essential Knowledge, Skills and Experience: A PhD in a relevant scientific discipline, such as synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and
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to facilitate successful academia-to-industry valorization trajectories within the context of a collaboration between the teams of Prof. Garg/Naulaerts and PharmAbs. For more information, see these websites
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Status: Closed Applications open: 3/07/2024 Applications close: 3/10/2024 View printable version [.pdf] About this scholarship Description/Applicant information CSIRO's Industry PhD (iPhD) program
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(AMEX) is conducted over a massive spatial and temporal extent. The Research Technician oversees data management from a series of research forests spanning the north-south length of the Sierra Nevada
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, chemical metallurgy or materials science/engineering relating to the mining and recycling sector with relevant PhD degree in this domain. Proven expertise, research supervision and research track record
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dimensionality reduction. Application of machine learning in drug discovery: target identification, drug repurposing, virtual screening, PK/PD modeling, and drug-drug interaction prediction. Data mining
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) to mine, mostly comparatively, the metabolome and metallome of marine macro- and microorganisms by cutting edge LC-MS/MS-based chemoinformatics/computational untargeted metabolomics (MS/MS fragment