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of ecological data and sustainability issues - Materials Science: AI-driven discovery and design of new materials Applicants should have (i) a Ph.D. in Computer Science, Computer Engineering, Electrical
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work employs genetically engineered mouse models, pharmacologic and surgical perturbations, and longitudinal phenotyping to interrogate disease initiation and progression at cellular, tissue, and systems
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis
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16 Mar 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Chemistry Engineering Physics Researcher Profile Recognised Researcher (R2) Established Researcher
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engineering Machine learning or AI methods (e.g. anomaly detection, classification, regression, time-series modelling) Programming skills (e.g. Python, MATLAB or similar) Experience with industrial systems
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, software engineering, and energy systems engineering in a collaborative and interdisciplinary environment. The Center hosts research laboratories dedicated to digital twins, AI-driven system evaluation, and
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modeling preferred. Sociology: PhD in Sociology or Organizational Behavior with expertise in computational social science, organizational theory, social networks, science and technology studies, or economic
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15 Mar 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University,, Department of Materials Science and Engineering Research Field Technology » Medical technology
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.PEX under the following conditions: 1. Scientific Area: Biomedical Sciences. 2. Funding Source Foundation for Science and Technology, I.P./MCTES, through national funds (PIDDAC) [for R&D projects and
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advanced engineering approaches, including model-based engineering methods, digital representations of systems and processes, immersive engineering environments and data-driven engineering techniques