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Financing yes Type of Position Full PhD Working Language English Required Degree Master Magister (Masters degree course) Areas of study Marketing, Distribution, Commercial Law, Economic Sciences, Economics
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Inverse Design of Perovskite-Based Materials for Photovoltaic Devices Your Job: As a PhD candidate, you will develop and deploy an artificial intelligence (AI)-driven approach to streamline high-throughput
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Description The Graduate School Practices of Literature (GSPoL) invites international candidates to apply for its three-year PhD programme, offering up to two scholarships starting on October 1, 2026. Our scholarships provide funding for three years with the possibility to apply for a one-year...
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one pdf file). Please indicate the job announcement ID (3163). Review of applications will begin on November 1, 2025, and continue until the position is filled. If you have any questions, please contact
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Description The Institute of Energy Technologies – Fundamental Electrochemistry (IET-1) focuses on the development of performance-oriented and sustainable materials and components for the electrochemical energy storage and conversion. Aiming to develop sustainable and cost-effective batteries,...
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how very different mutations can trigger similar developmental problems. More information can be found on our homepage . Project Summary This PhD project builds upon an ongoing collaboration between
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Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
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Description As part of the research project ‘(Non-)utilisation of sick days for children – a challenge from different perspectives’ at Osnabrück University, we are seeking to fill a position as a research
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the research project ‘(Non-)utilisation of sick days for children – a challenge from different perspectives’ at Osnabrück University, we are seeking to fill a position as a research assistant (m/f/d) (E 13 TV-L
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA