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modeling, materials, and biomanufacturing). Candidates will possess a PhD in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a closely related
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, uncertainty propagation Where to apply Website https://imtatlantique.fillout.com/mscapf2026 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Skills: Modeling Reactor
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on the part of the assessment that relates to the applicant. You can read about the recruitment process at: https://employment.ku.dk/faculty/recruitment-process/ Please note that the applicant will be
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Next generation manufacturing of sustainable composite materials using internal forced convection processing (S3.5-MAC-Maguire) School of Mechanical, Aerospace and Civil Engineering PhD Research
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are notified of the composition of the committee, and each applicant can comment on the part of the assessment that relates to the applicant. You can read about the recruitment process at: https
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. Familiarity with advanced statistical and modelling tools (e.g., process-based models like LPJ-GUESS or ORCHIDEE and data assimilation frameworks such as CARDAMOM) is considered highly positive. Experience with
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. Familiarity with advanced statistical and modelling tools (e.g., process-based models like LPJ-GUESS or ORCHIDEE and data assimilation frameworks such as CARDAMOM) is considered highly positive. Experience with
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Laboratory disposes of extensive experimental testing facilities and infrastructure. ABOUT THE DOC-CEM PROJECT The General objective of this project is to build-up knowledge and develop models and tools
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Description Fundación Pública Galega de Investigación Biomédica INIBIC announces a selection process for the recruitment of Research Support Personnel to carry out a staff replacement at the Technological
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biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease. Implement machine learning models to improve