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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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. Maintain inventory of materials, equipment, machine parts, consumables, and hand tools. Work with Director of Fabrication Shops to continually review and improve shop practices and interfaces with curriculum
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The Laboratory for Biomolecular Simulation Research (http://lbsr.rutgers.edu ) and Institute for Quantitative Biomedicine (https://iqb.rutgers.edu/ ) at Rutgers, the State University of New Jersey, is seeking 2
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
-PULSE addresses a key open question in responsible AI: can we design practical machine learning systems that satisfy strong privacy guarantees [1] and fairness [2] constraints simultaneously, without
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-machines and nano-robots as a drug delivery vehicles. As a core research activities, the postdoc candidate activities are the: - Design and in silico modeling of DNA origami nanostructures with high
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school education) Required License No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft Outlook Required Other Computer
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Applications: Microsoft Excel, Microsoft Word, Microsoft Outlook Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Demonstrate organizational skills with ability to work
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be required to submit employment verification documents on their first day of work. For a list of acceptable documentation, follow this link: https://www.indstate.edu/sites/default/files/media
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licensure/certification? Required Computer Applications: Microsoft Word Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: •Superior organizational, planning
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been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach