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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 8 days ago
prediction Analysis of primary and secondary data Preparation of reports and English-language publications Presentation of results at conferences The Leibniz Institute for Prevention Research and Epidemiology
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, including hands-on experimental experience and data interpretation (must-have) # Experience in spectroelectrochemistry or advanced electrochemical analysis (desireable) # Experience in the synthesis and
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Universität Berlin. The position is part of the research group QUALITY.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project “PhytoM” is
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on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in
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into six subclusters (Hazards, Dietary, Knowledge, Urban, Inequalities, Conflict), three supportive research platforms (Technical Platform, Data Management and Data Science Platform, Outreach and
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of science, education, culture, economics, society, technology and the environment. The school of Mechanical Engineering and Safety Engineering, Chair of Materials Science and Additive Manufacturing (head
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
exposure methods, and data analysis. Additionally, through a planned cohort study, you will gain experience in translating laboratory findings into real-world health applications. Key Responsibilities
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the boundaries of efficiency and precision in data analysis but transforms the way we think about data in scientific contexts. At the same time high energy physics is building on decades of experience in high
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efficient and safe trajectory planning in safety-critical scenarios. For this purpose, we focus on modeling and quantifying risks in order to subsequently incorporate them into trajectory planning. The goal