116 programming "https:" "https:" "Computer Vision Center" research jobs at Northeastern University
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sensing, computer vision, mental health, data fusion, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that
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testing and integration needs, and we are the first O-RAN Open Testing and Integration Center (OTIC) to have released a certificate in North America. We are looking for multiple Research Engineer (RE
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details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding. Minimum
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, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified
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possess a PhD in Electrical and Computer Engineering, Mathematics, Computer Science, or equivalent. Position Type Research Additional Information Northeastern University considers factors such as
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and operate catalytic reactors Ability to synthesize and characterize catalysts Proficiency in Python programming Ability to apply machine-learning methods to scientific data Ability to work
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an equivalent programming language Ability to work independently and across disciplines Key Responsibilities & Accountabilities Develop catalytic and/or electrocatalytic routes and materials for
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experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition
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of resilient artificial intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI