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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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. Experience in one or more scientific computing languages (Julia, Python, Matlab, etc) You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral
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will be part of this PhD position: (Semi-)Automated production of catalyst inks from commercial materials Development of characterization workflow for catalyst inks and interfaces Establishment of a
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Engineering » Electrical engineering Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 29 Mar 2026 - 23:59 (Europe/Oslo) Country Norway Type of
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Job vacancy starting: 01.04.2026 | Working hours: 30,00 | Classification CBA: §48
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/ Qualifications PhD holder in the areas of Computer Science, Robotics, Electrical and Computer Engineering, Engineering Physics or a related area (see selection criteria). A strong background of remote sensing is
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at the #10 public business school in the country. Visit our website: http://www.binghamton.edu/som/ . Requirements: Minimum Qualifications: Master's degree in management information systems or a related field
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including Chemical & Biological Engineering, Civil and Environmental Engineering, Computer Science, Mechanical & Aerospace Engineering, and Electrical and Computer Engineering, as well as across Princeton's
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
-world policy applications to equip students with the knowledge and tools needed to engage with AI at both strategic and operational levels. Students will learn how modern machine learning models work