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at the Laboratoire de Physique de l'ENS, within Team 23, Materials for Energy from Advanced Modeling, in a strongly interdisciplinary environment at the interface between atomistic simulation, artificial intelligence
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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, ligand GaMD). ● Experience building and interpreting Markov State Models or comparable approaches for identifying metastable states and conformational transitions. ● Proficiency in Python and
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Research Associate will conduct applied and fundamental research in energy systems engineering, with an emphasis on industrial energy systems, energy management, techno-economic analysis, modeling
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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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under the guidance of the principal investigator. Projects will involve work with animal model and human patient sample experiments to investigate immune function in cell therapy and hematopoietic stem
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/Certifications Job Duties Analyze data and develop physical models Write publications Prepare and present technical presentations Assist with project reports Physical Requirements Communicating with others
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motor skills to manipulate laboratory instruments and small materials · Ability to work safely with chemicals, biological samples, and laboratory equipment · Ability to wear PPE including lab coat, gloves
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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3Dorganoids,primary cells purification and culture skills are particularly welcome. Minimum Requirements: Ph.D