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. The position is a permanent employment with Ericsson. As an industrial PhD (iPhD) you will be employed by Ericsson while also enrolled in the doctoral programme in Electrical Engineering at Chalmers
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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procedure Are you interested in this vacancy? Please apply no later than 28 February 2026 via the application button and upload the … Where to apply Website https://www.academictransfer.com/en/jobs/357690/phd
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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of nondiscrimination is located at uab.edu/titleix . Department: Electrical and Computer Engineering Assignment Category: Full-Time Tenure Status: Non-Tenure Track Required Qualifications: Applicants must hold a PhD
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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Qualifications Minimum Education and Experience PhD in Nursing History of research and scholarship in clinical settings Superior interpersonal skills and robust ability to build programs of collaboration Passion
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: 6834757 Assistant Project Scientist - Department of Electrical Engineering and Computer Sciences Position overview Position title: Assistant Project Scientist Salary range: The UC academic salary scales
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modeling, materials, and biomanufacturing). Candidates will possess a PhD in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a closely related