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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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research articles and present results at scientific meetings. (30%) • Assist in the development of proposals for external funding for research projects. (5%) Requirements • A PhD degree in physics, chemistry
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for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer
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, computing icequake source parameters, and detecting glaciohydraulic tremor. The ideal candidate will have a Ph.D. in Earth Sciences with a focus on either glaciology or seismology, demonstrated experience in
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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, how long have you worked with the machine, and for what purposes/projects, · PhD degree in Computer Science, Electrical Engineering, Information Science, Mechanical Engineering, Human-Computer
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programming skills in SAS, JMP, R Statistical Software, or others and a strong publication record. A post-graduate degree (PhD, DVM or equivalent) in veterinary, animal, or the biological science is desired but
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This position will not supervise anyone. To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31628 ) . Qualified candidates should submit a short cover letter, curriculum
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the option to work remotely 1-2 days per week. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31803 ">https://academicjobsonline.org/ajo/jobs/31803 ). Qualified
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College of Computing and Information Science under the direction of Principal Investigator Rene Kizilcec. The NTO is a collaboration among Cornell University, Carnegie Mellon University, and the