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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Coimbra, Coimbra | Portugal | 4 days ago
feasibility of a high-performance, cost-effective muon imaging instrument capable of operating in realistic environments, with potential applications in both scientific and industrial contexts. The work
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geospatial analysis and statistics. Proficiency in spoken and written English. Proven record of publishing first-author scientific papers in journals from the JCR list. Good programming skills (e.g
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; candidates who, although holding a PhD in other areas, have a scientific curriculum in one of these areas may also apply. 3. Candidates must have knowledge of markup languages (XML/TEI); programming languages
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EU programme Reference Number AE2026-0227 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt
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learning and memory - Good analytical and scientific reasoning skills - Basic knowledge of statistics and programming (e.g. Python or Matlab) - Good scientific communication skills in English, both
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Eligibility criteria Core Competencies: - Functional ecology, stability theory in ecology, dynamical systems, linear algebra, data analysis. Operational Competencies: - Scientific programming, writing
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programme Reference Number AE2026-0277 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026
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within the IOSDC, supplying expert input, documentation, tools and guidance to the Science Operations Centre (SOC) so that the scientific community receives timely, complete assistance. In addition
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Two Postdocs in Programming Languages Reference number REF 2026-0339 Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3