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diverse energy actors (e.g. consumers, prosumers, utilities, and others). ODEON will be extensively validated in 5 demo sites, in Spain, Greece, France, Ireland, and Denmark (more info here: https
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impact on sustainability and future technologies. For more information: https://saragovi.science/ Being a doctoral student As a doctoral student, you are both admitted as a student and employed at Lund
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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accelerator simulation tools (e.g. GENESIS, Elegant, or equivalent) are advantageous Good command of high-level scripting languages (Python/Matlab) is essential Good command of English Excellent teamwork
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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in
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integrated into the Presentis student information system (leerlingvolgsysteem) for user-centred evaluation and refinement. To get a better idea about the project, see: https://www.ru.nl/onderzoek
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in mantle geochemistry hands-on experience with relevant analytical techniques affinity with numerical modelling (Python, R, Aspect) excellent ability to communicate in both written and spoken English
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Apply here: https://lanl.jobs/search/jobdetails/postdoctoral-research-associate-in-chemical-design-and-formulation-of-densified-fluids-for-superhot-geothermal-systems/cdacf5d2-0772-428c-bbbe
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probabilistic modelling, latent-variable methods or Bayesian methodology is essential. Demonstrated strong proficiency in programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are