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, Python, R, or comparable platforms). Solid background in signal processing, statistics, time-series analysis, network science, or computational neuroscience. Excellent written, verbal and computer skills
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Knowledge, Skills, and Abilities Ability to read, write, speak, understand, and communicate in English sufficiently to perform job duties. Must be computer literate with proficiency and working knowledge
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools
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subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). Work duties The
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and uncover yet unknown physiological particularities of sleep and other human health factors. Your Profile PhD (or near completion) in Biomedical Engineering, Computer Engineering, Computer
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. Information about the Department can be obtained at https://ece.hku.hk/ . Applicants should possess a Ph.D. degree in Electrical Engineering, Computer Engineering, or a related discipline, with a strong
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. Participate actively in securing new funding. The contract will be fixed-term two-year full-time contract. The start date will be in January 2027. Where to apply Website https://selection.uoc.edu/web/profile
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, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Applicants must
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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a
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solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment