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scholarly work and familiarity with at least one programming language. You’ll be the kind of person who thrives working across multiple organisations, teams and disciplines. If you’re driven to create
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Received General direction from the assigned supervisor. Supervision Given None. Required Education Doctoral degree in Physics, Astronomy, Electrical Engineering, Computer Science or related field from
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the Department of Cancer and Genomic Sciences. Their main role will be to apply and develop new methods of precise genome manipulation and subsequent in vivo phenotyping (e.g. high resolution 4D imaging) and
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methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
22 Jan 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Computer
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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of the research team, by contributing to multiple research projects, including writing for ethics applications, developing data collection tools, recruitment of participants into studies, managing
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funded through the EU Research Framework Programme? Other EU programme Reference Number IT137-26-42 Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for
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contributing to outcomes that matter to farmers, communities, and the planet. Key responsibilities will include: Advance innovative research in crop adaptive trait physiology and modelling across multiple crops