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availability of continued funding. Additional responsibilities include: Mentoring PhD students and collaborating with academic and industrial partners Participate in the preparation and writing of journal
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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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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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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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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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- Philosophy (PhD) required Experience: Minimum 1 year of relevant experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt
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: Doctorate degree - Philosophy (PhD) required Experience: Minimum 10 years of relevant experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and
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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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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