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mathematical modeling, optimal control, and Bayesian optimization. Expected skills We are looking for a candidate with a Master 2 degree in physics, mechanical engineering, or applied mathematics. We expect a
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interdisciplinary, and together we contribute to science and society. The AI in Biomedical Imaging research group conducts applied AI research focused on biomedical image computing. Our work involves developing state
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. The Institut is hosting more that 120+ research groups and 31 core facilities across 13 departments. The Biomaterials & Microfluidics core facility is at the forefront of organ-on-chip (OoC) technology
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. Use qualitative research methods - e.g.: observations, interviews - to investigate young multilingual children's language practices at home and in educational or healthcare settings as
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cell therapy are encouraged to apply. Priority will be given to the identification and development of biomarkers for diagnosis, prognosis, and monitoring the effects of candidate therapies. Given
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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 2 months ago
therapeutics for Alzheimer’s disease by integrating biostatistics, bioinformatics, and Big Data analytics. Key Responsibilities Perform statistical analyses using the R programming language. Develop and apply
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an outstanding record of peer-reviewed publications; strong experience in human stem cell biology, including the derivation and use of patient-specific iPSC models and advanced ocular organoid systems
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tutorials as well as in the valorization of our innovations. #CEA-List ; #researcher ; #Nanotechnology ; #Simulation Model You have an engineering/master's degree or a PhD in the field of computer science
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, support to potential LIH coordinators in the definition of projects, search for partners at European level, consortium management during the proposal preparation process. Writing and editing high quality
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identified a critical role for actin remodeling in tumor cell resistance at the immunological synapse, the dynamic interface between cytotoxic lymphocytes and cancer cells. Our group applies high-resolution