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for the design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https://www.pepr-diadem.fr/ Where to apply E-mail mohamed.jebahi@ensam.eu Requirements
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for the design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https://www.pepr-diadem.fr/ Where to apply E-mail Mohamed.JEBAHI@ensam.eu Requirements
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heritage, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Dynamic structural
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Characterize them using biochemical, biophysical, and structural tools Develop reaction assays to confirm and quantify enzymatic activity Analyze the data obtained to elucidate reaction mechanisms Present and
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rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing a structured system for AI-assisted mathematical research, applied
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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publications in bioinformatics analysis of large-scale biomedical data, e.g., omics, clinical, structural bioinformatics, other biomedical data, should be outlined in the CV Demonstrated skills and knowledge in
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structured and target-oriented manner Excellent teamwork and communication skills for collaboration in an interdisciplinary environment Eligibility Criteria Applicants must comply with the MSCA eligibility
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aggregation assays is a plus Well-structured and autonomous working style, good organisational and communication skills Team player Early-stage researcher: a researcher without a PhD who has graduated in