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. Your profile A Master’s (or Bachelor’s) degree in chemistry, materials science, or related field. Desired expertise: Electrochemistry, scanning probe techniques (AFM, STM, SECM) Additional experience in
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Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and
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14.08.2025, Wissenschaftliches Personal PhD (f/m/d) in Polymer Physics/Material Science funded by ERC StG with excellent opportunities for both research and career development. The Technical
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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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submitted via the PhD Chemistry programme page, by clicking on the 'Apply' button, above. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply
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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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Description of the offer : We invite applications for 1–2 fully funded 4-year PhD positions in the Magnetism and Spin-Orbitronics Group at the School of Physical and Mathematical Sciences, Nanyang
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science