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working style Interest in practical laboratory work and scientific data analysis Initial experience with biological, soil science or agricultural samples is an advantage Initial experience with scientific
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agricultural data with mass and nutrient balances, scenario modelling, and life cycle-based, techno-economic and socio-economic methods. Data will be drawn from research, statistics, literature and national
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it-medarbejdere. About us The STANDBY-project is hosted at the Department of Political Science, Aarhus University, and lead by professor Lasse Lindekilde (see https://ps.au.dk/forskning
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applications. Announcement Details Open Date 08/18/2026 Requisition Number PRN17370N Job Title UU Student - Research Working Title Crocker Science Center Intern Career Progression Track SJ Track
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | Mülheim an der Ruhr, Nordrhein-Westfalen | Germany | 26 days ago
data protection for applicants can be found on our homepage: https://www.cec.mpg.de/en/career-education/data-protection-information-for-applicants Contact Max Planck Institute for Chemical Energy
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modules for their data processing and model evaluation We expect field of study: geoinformatics, data science, digital humanities, computational science, bioinformatics, computer science, physics or
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opportunity for student who are interested in, or majoring in: Computer science Pre-medicine Genetics Information systems Qualifications This job posting is only available to University of Utah
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temporary work-study position for eligible students with FWS funding, supporting administrative and technical operations related to human subjects research with a strong emphasis on computational data
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, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Assistant
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into soil and crop sciences. Their work would use artificial intelligence to improve knowledge and outcomes by leveraging and integrating varied relevant data (which may include agronomic, environmental