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Field
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sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely identification of deterioration processes and assessment of their evolution/extent.Position 3
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focus on developing a dashboard solution to visualise raw sensor data and transformed/congregated data through AI and other data analytics methods. This will also involve integrating multiple data sources
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specimens, on subjects. The incumbent will also need to track subjects and specimens in study database and may need to abstract medical record information on subjects/specimens and enter these data
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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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. Head the analytic core for the clinical research group at the Back & Pain Center, collaborating with analysts across other pain research teams to ensure cohesive data analysis strategies. Prepare and
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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-month appointment that involves actively engaging with food industry stakeholders, leading the analytical services program at the Whistler Center for Carbohydrate Research, and developing a research
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18.02.2025, Wissenschaftliches Personal The aim of the HerbiSens project is to identify new herbicidal compounds from natural resources. To this end, state-of-the-art analytical methods (e.g. LC-MS
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, applying data analytic techniques, mapping data using GIS. Writing reports and publications and presenting results at regular meetings and professional society meetings. Assisting with proposal development
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securing well designed and well executed analyses of food? Are you eager to take on the challenge of improving analytical techniques in this field using state-of-the-art measurement systems such as LC-(HR)MS