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on advanced machine learning and emulation approaches. Key responsibilities: The candidates will be expected to work on the following tasks: - Develop machine learning (ML) methodologies appropriate
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psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
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UNE: A Diverse and Inclusive Workplace At UNE, we believe our strength comes from the diversity of our people and the unique perspectives they bring. We are committed to fostering an inclusive environment where everyone is valued and empowered to contribute their best. We warmly encourage...
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RAP opportunity at National Institute of Standards and Technology NIST Scientific machine learning methods for trustable accelerated materials characterization and design Location Material
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh) School of Mathematical and Physical Sciences PhD Research
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will receive the highest value scholarships. About the scholarship The Learning Potential Fund provides support through scholarships and bursaries to students in financial need.
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of medical databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and signals (including speech and audio). Where to apply Website https://www.uam.es
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Auto/Equipment Mechanic Apply now Job no: 556115 Work type: Staff Location: San José Categories: Unit 6 - Teamsters Local 2010 Job Summary Reporting to the Associate Director- Architectural Trades
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and accelerate the development of more high-performing PNSEs. The ultimate goal of the project is to develop, implement, and validate novel deep-learning models for molecular dynamics and coarse-grained
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industrial objects. Different acquisition devices are used depending on the object properties and quality requirements. We research modern machine-learning methods for the analysis of an object's optical