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Network ReDiLEEP (https://redileep.eu/ ). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 2 months ago
September 15, 2026. Learn more and apply: https://imprs26.mpikg.mpg.de/ Where to apply Website https://imprs.mpikg.mpg.de/home/applications/ Requirements Research FieldPhysicsEducation LevelMaster Degree
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, scientific conferences and other scientific events. Contribute to the preparation of scientific manuscripts and research publications. Where to apply Website https://jobs.vhir.org/jobs/8357465-predoctoral
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doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd/selection/background-checks
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thinker, eager to learn new experimental techniques, and enjoy collaborating with researchers from different disciplines as well as industrial partners. Furthermore, you meet the following requirements: You
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information on fees. There will be a requirement to teach in undergraduate laboratories and tutorials (144 h per year) as part of the scholarship. Find out more about studying at UCD here: https://www.ucd.ie
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 3 hours ago
Do you want to help transform human health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
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machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in industrial furnaces
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AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and