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initiative and undertake outreach, including publication of research findings Prepare and design simulation studies using water, soil and crop modeling tools Compile and analyze experimental data, interpret
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@ifj.edu.pl The application must include: -CV, -cover letter, - a copy of PhD degree or a document confirming awarding PhD degree, - GPDR consent "I consent to the processing of my personal data by IFJ PAN
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stimulationDURATION: 18 months (potential extension)LOCATION: Université de Montpellier – LMGC, in collaboration with LIRMM, IRMB, and the industrial partner SymétrieSTART DATE: End 2025---POSITION OVERVIEWThe funded
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of Research ExperienceNone Additional Information Eligibility criteria - The applicant must have a PhD in physical chemistry, colloid science, soft matter physics or related fields of research - Skilled in
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. Responsibilities: Conduct research in compilation, optimization, and analysis for time-predictable computer architecture. Co-supervise MSc and PhD students. Contribute to teaching and research proposal preparation
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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, animal models of disease and data analysis strong publication record in peer-reviewed journals demonstrated ability to independently design and execute experiments proven track record of generating high
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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work will focus on the modeling and interpretation of transiting exoplanet and host star data from JWST, and the upcoming Pandora mission. The Eyes on the Stars JWST Archival program aims to study host
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety