210 computer-science-"https:" "https:" "https:" "https:" "https:" Fellowship positions
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Field
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interested in the interaction of mathematics with fields such as physics, biology, economics, computer science, AI, statistics, and other disciplines. Basic Qualifications: Ph.D. in a relevant field
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Head of PhD School at the Department of People and Technology, Associate Professor Sine Lehn ( [email protected] ). As a PhD student you will be associated with the research section Computer Science and
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steps. Conducting experiments Reporting of results in publications Presentations at major conferences Job Requirements: PhD degree in Electrical Engineering, Computer Science or related field At
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Requirement PhD in Electronic Engineering, Computer Science, Mechanical Engineering or related field 3-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic
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computer science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages
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Breadcrumb Branco Weiss Fellowship - Society in Science The Branco Weiss Fellowship – Society in Science provides a platform for exceptionally qualified researchers, demonstrating a willingness to engage in a
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/assignment relevant to the subject area. Doctoral degree should be in bioinformatics, computer science, neuroscience, genome biology, molecular biology, biomedicine, genetics, or a related field. For
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Research Fellow in Computer Science Area Opportunities at the University of Nottingham in Ningbo China Location Ningbo Salary 272606 RMB to 383580 RMB per annum, depending on skills and experience
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looking for a highly creative and motivated PhD student with the following qualifications and skills: You have (or will obtain in the next months) a European master's degree in computer science, Artificial
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, Computer Science, Mechanical Engineering or related field 3-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic foundation models Publication track