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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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instrumentation, physical modelling, sensor technology, or experimental validation is advantageous. Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing
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We are seeking an enthusiastic and self-motivated teacher to join the Department of Computer Science as a Lecturer/Senior Lecturer in Computer Engineering/Hardware. This role offers an exciting
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from diverse backgrounds including data sciences, computing, statistics, epidemiology and human computer interaction. We collect, analyze, and interpret complex, multi-scale real-world data from large
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/doctoral/renew-mat https://www.famnit.upr.si/en/education/enrolment . Specific Requirements Required additional functional competencies: computer literacy, organisational skills, ability to work effectively
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
of proficiency in either R or Python in the areas of machine learning, deep learning, statistical analysis, computer vision, and/or graph analysis Experience with data engineering to create data
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2 PhD positions: 4-year PhD programme (KU Leuven Arenberg Doctoral School), pending a positive evaluation by the doctoral committee at the end of the first year; Successful candidates will perform