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for assisting with conducting learning evaluations, and in the provision of learner-centered academic coaching support for MD, MSTP, and PhD students. This position requires helping students adapt their study and
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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vision Special Instructions We highly recommend reviewing our department website’s Faculty pages to learn more about our faculty, their labs, and their research interest before applying. Please apply
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interdisciplinary professional partners. • Other duties as assigned. Requirements: • PhD degree in computer science, applied mathematics or electrical engineering, with a focus on computer vision/machine learning
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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Susquehanna International Group, Quantitative Research Internship ID: SIG -QSTINT28 [#26690] Internship Title: Machine Learning Internship Program – PhD Hire – NY/Philadelphia area Internship Type
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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expectations. Candidate's academic research/teaching interests can include but are not limited to corporate finance, investments, financial markets, and fintech (including IA/machine learning). Evidence of
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physics. Participation in detector research and development, especially for low-latency event selection in trigger systems. Development of new artificial-intelligence and machine-learning techniques
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, government or corporate setting. They would also have a PhD or commensurate industry experience/expertise in a Cybersecurity related discipline, such as Computer Engineering, Computer Science, or Electrical