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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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. Experience and expertise in human mobility simulation and prediction with agent-based modeling and deep learning techniques. Proficient in Python programming for geospatial data processing, modeling, and
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Classification Title: Postdoctoral Associate - Keeler Lab Classification Minimum Requirements: • PhD degree (within 2 years) or be in the process of completing a PhD in biological sciences (e.g
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about the range of information about you processed by the controller; − access to your data and receiving a copy of the data (this does not apply to copies of the documents themselves); − rectification
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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no later than three years before the beginning of the contract. Selection process CV, cover letter and copy of PhD degree to be sent by email mentioning reference of job offer at : drh-recrutement
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analysis and biogeochemistry. Demonstrated ability to solve complex differential equations, essential for modeling fluid dynamics and geochemical processes in river-lake systems. Extensive knowledge of river
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. Responsibilities include designing and executing laboratory, simulation, and field-based research, contributing to technical publications and grant proposals, collaborating with multidisciplinary research teams
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Model. In parallel, the group is engaged in hardware activities related to the development and implementation of new FPGA-based trigger processors, both for the operation of the ATLAS muon spectrometer
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simulations, enhanced sampling, and kinetic modeling. Research activities will examine molecular interactions involving neurotransmitters and hormones, including norepinephrine and estrogen, and their effects