445 algorithm-development-"Multiple"-"University-of-California,-Santa-Cruz" positions
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Field
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of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
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stakeholder groups. Involving multiple industry/corporate partners in each project and setting the proper expectations. Interviewing, selecting, and placing interns. Working with industry partners to prepare
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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Deadline: The position is open until filled Research Opportunities in Statistical Learning at the School of Physical and Mathematical Sciences of NTU Singapore There will be multiple PhD positions available
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environments, taking into consideration new work arrangements (e.g., gig work and remote work) and technology (e.g., remote control, algorithmic management). The dominance of AT has contributed to an over
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to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms. Key duties Develop a robust framework to simulate streamflow
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: Develop electromagnetic transient models for bulk power systems, power electronics-based resouces (e.g. HVdc, solar PV inverters), synchronous generators, loads, etc. Develop simulation algorithms
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approximately 32,700 students in total enrolled with the University around the world. The Opportunity: Embry-Riddle Aeronautical University in Prescott, AZ, invites applicants for multiple adjunct faculty
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
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: Develop scientific research in advanced reactor physics modeling and simulation as well as cross section processing through novel methods and algorithm design. Contribute to new reactor physics and cross