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) 13 TV-L FU reference code: ONEMuc_FluBind The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus
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investigation of ultrafast charge transfer, non-equilibrium phenomena in realistically large solid/solid, solid/liquid, solid/gas interfacial systems. Code implementation of spectroscopic modules in electronic
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Development, training and calibration of an educational AI agent for automated annotation, coding and labeling support for transcribed interviews and other qualitative text data. Operationalization and
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PWA-2026-0138 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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, entering and coding data, and general organizational and research activities. Preferred Qualifications: Education: Bachelor's degree in Psychology, Child Development, Neuroscience, or a related field
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centres and non-academic organisations. The MSCA promote excellence and set standards for high-quality researcher education and training in line with the European Charter for Researchers and the Code
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experience, and career goals Transcript (unofficial is acceptable) Sample code (optional) Sample paper (optional) Shortlisted candidates will be contacted for an interview and a coding task. Applications will
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, econometrics or another relevant field. You will have substantial relevant research experience in complex trait genetics, a proven ability to code and a strong publication record. If no suitable applicant is
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analysis software. Experience in classroom observations and video data coding. Experience of collating and organising large amounts of data (video/audio) Skills in or knowledge of managing/using a Network