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the use of excited-state methods (TD-DFT, ADC(2), etc.) to explore the relationships between the molecular structures, photoinduced electron transfer (PeT), and chirality in strong connexion with
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both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
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or a related discipline Excellent skills in advanced statistical modeling relevant for epidemiological research, or willingness to train and apply new knowledge in modeling Excellent writing skills
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training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy Werequire: M.Sc. (or equivalent) in chemistry, preferably specialized in analytical
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, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include (in one PDF file
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Design and conduct analyses linking vocal biomarkers to validated psychological scales (e.g., PAID, PHQ-9, GAD-7). Apply natural language processing (NLP) and AI techniques to large-scale audio datasets
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and workshops A dynamic and well-equipped research environment Personal work space at UL or LISER (depending on the project) How to apply All documents should be uploaded in pdf format. Incomplete
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-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover letter Degree certificates and transcripts The name of one
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., CGM metrics), and routine laboratory tests. Key Responsibilities Conduct advanced clinical epidemiological analyses using large cohort data (SFDT1, but also REVADIAB, ANGIOSAFE2); Apply unsupervised
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Details:- Location: Nancy, France- Funding: Fully funded- Candidate Profile: Master’s degree (or equivalent) in applied mathematics or an AI-related field. A strong mathematical background is required