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programming You have experience with modeling, statistical analysis and/or machine learning Experience with DNA- or RNA-sequencing data analysis is a plus Education and training You hold a PhD degree in
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a motivated and experienced candidate to work on computational modelling of low dimensional electroactive materials for energy applications. The project will focus on systems based on arrays of stable
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Description Research project: CONTEXT DEPENDENT INTERACTIONS IN COMPLEX SYSTEMS: DYNAMICAL PROCESSES PID2024-158120NB-C22 Exhaustive analysis of bibliographic data bases within the framework of the research
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Professional experience Experience in ecological modelling, oceanography, environmental sciences, statistical computing or a related discipline (PhD in any of this fields is desirable but not required) Strong
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11 Dec 2025 Job Information Organisation/Company University Miguel Hernandez Department Bioengineering Institute Research Field Neurosciences » Neurophysiology Computer science » Modelling tools
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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr.Leticia Tarruell . The Fermi-Hubbard model is a cornerstone model of condensed matter physics. It describes the physics
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the Electrochemical Processes Unit looking for talented and motivated candidates, to work on research and development of electrochemical energy storage devices for forward operating bases. The selected postdoctoral
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and fine-tune LLM Agents for hypothesis generation and protocol suggestions. Design and manage a structured, FAIR-compliant knowledge base for materials discovery. Contribute to the development and
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the physical (and social) world. To move toward truly autonomous (and socially intelligent) agents, this research theme focuses on the development of World Models specifically tailored for human behaviour
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. Mathematical or computational models, including artificial intelligence-based approaches, that make use of such information flows and address uncertainty and complexity in relation to food safety risk assessment