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/Qualifications PhD in chemical engineering, physical chemistry, or a related field. Proven expertise in thermodynamic modeling (e.g., COSMO-RS) and/or advanced experimental techniques (high-precision calorimetry
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related to staff position within a Research Infrastructure? No Offer Description You will join the GIN: https://neurosciences.univ-grenoble-alpes.fr You will be supervised by Julien BASTIN (Inserm Research
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Additional Information Eligibility criteria Training and experience: A PhD in Materials Science, Computational Chemistry, Physics, or a related field, with a strong background in DFT modeling and experience in
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of linguistic and behavioral data (including egocentric eye-tracking data). Proficiency in Hindi Experience in computational modeling of typological data. Website for additional job details https://emploi.cnrs.fr
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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» Applied mathematicsEducation LevelPhD or equivalent Skills/Qualifications PhD in computational modelling or applied mathematics Additional Information Selection process Apply by sending an email to
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several major types of mobility modeling, with the aim of improving their respective efficiency and usage: four-step models, multi-agent systems and a mobility model developed in the PhD thesis of Louisette
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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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Educational Background: PhD in Biophysics, Mathematics, Computer Science, or a related field. Strong foundation in dynamical modeling, particularly ODEs, PDEs, and probabilistic models. Technical Skills