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Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Northeast@orau.org and include the reference code for this opportunity
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the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What
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will investigate the patterns, drivers, and consequences of vegetation change in mountainous regions. The overall objectives are to (i) improve process understanding of variation and context-dependencies
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; Neuroscience; Physics; Chemistry; Computer Science; Data Science; Mathematics; Earth Science; Astro sciences; and related disciplines Application deadline: September 18 (14:00 CEST) Salary: three-year fully
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes
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of the KIS Programme Manager and KIS Principal Investigator. The post-holder will also work collaboratively with funders, NHS staff, public members and other stakeholders to plan and deliver high-quality
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead
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, morphological, chemical, physical and mechanical characterization; Knowledge in additive and/or subtractive manufacturing; Knowledge in CAD modelling, Knowledge in computer simulation: • Excellent knowledge – 20