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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | 9 days ago
) Data analysis and modeling Where to apply Website https://www.hellowork.com/fr-fr/emplois/77604168.html Requirements Research FieldEnvironmental science » EcologyEducation LevelMaster Degree
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levels. PREFERRED QUALIFICATIONS Expertise in One Health, Precision Health, or lifespan research frameworks. Ability to integrate AI, data science, or advanced analytics into health research. Experience in
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supervisors, forming a consortium of seven beneficiaries (see above) and fourteen associated partners including six from industry and two start-ups. For more information, please have a look at https
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Improving Detection and Intervention for Social Isolation and Loneliness in Dementia Using NLP and Clinical Screening School of Psychology PhD Research Project Self Funded Dr Nemanja Vaci, Dr
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Applicants must hold a PhD in Analytical Chemistry, Environmental Chemistry, Pharmaceutical Sciences or a related field. Applicants with extensive experience in LC‑HRMS‑based early‑warning monitoring
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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, analytical chemistry, and mycotoxin chemistry. Job Duties: Perform qualitative and quantitative analyses of mycotoxins in grain samples and other plant materials using GC-MS techniques. Analyze data and
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Gies College of Business: Clinical Associate Professor or Clinical Professor - Department of Account
online), and a PhD in Accountancy. Renowned for its leadership in data analytics education, the Department is home to the University of Illinois-Deloitte Foundation Center for Business Analytics, which
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on the development and application of computational and analytical methods for metaproteomics, including peptide and protein identification, taxonomic and functional profiling, and integration with other omics data
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: University or university of applied sciences degree in natural sciences, engineering or comparable training with a technical background. PhD is desirable. Proven professional experience in project management