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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer
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on physics analysis and artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard
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of fiber infrastructure. Who we are looking for The following requirements are mandatory: A doctoral degree or an equivalent foreign degree in Electrical Engineering, Computer Science, Telecommunications
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Koplev lab is recruiting an outstanding and ambitious postdoctoral researcher in computational
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Sciences at UWA. As the WA node of Plant SynBio Australia under Bioplatforms Australia and the NCRIS program, PSIC will serve as a hub for cutting-edge research capabilities in plant synthetic biology, and
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define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
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Architecture programs to our award-winning Cooperative Extension and Agricultural Research programs, our faculty and staff serve today's needs while keeping an eye on the future. Nationally, CAES produces
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply before 31/01/2026 (DD/MM/YYYY) 23:59 (Brussels Time
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Jan 2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image