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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
Institute for Data Science (CIDAS), the Medical Data Science Section (MeDaS) and the Lower Saxony Centre for AI and Causal Methods in Medicine (CAIMed). Collaborations with major international companies
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
systematic analysis of the pilot factory and establish a data architecture based on the available data structures in the production management system, including identification of the critical variables
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systematic analysis of the pilot factory and establish a data architecture based on the available data structures in the production management system, including identification of the critical variables
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is one who: Possesses an earned master’s degree or higher from a regionally accredited institution in computer information systems, management information systems, information technology
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institution in computer information systems, management information systems, information technology, computer science or a computer-related degree as appropriate to the course and/or specialty being taught
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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bioinformatics, Michigan Institute for Data Sciences, LSA, and College of engineering. Core Facilities: High-throughput screening, medicinal chemistry, structural biology, cryo-electron microscopy
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requirements, insurance, help finding accommodation, support in opening a bank account, etc. More information on AMU EURAXESS Portal QUALIFICATIONS, REQUIRED RESEARCH FIELDS, REQUIRED EDUCATION LEVEL
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Number: 6580260 Project Coordinator, Asia Research Institute Position Information Position Title: Project Coordinator, Asia Research Institute Department: Asia Research Institute Posting Link: https
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techniques to measure nutrient availability, soil microbial activity, and plant responses. Data management and analysis: Collect, manage, and analyze experimental data using statistical and modeling tools