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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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to heiDOCS, the integral quality program supporting doctoral candidates and early postdocs at Heidelberg University How to apply: Please submit in a combined PDF document: (1) Motivation letter (2) Curriculum
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evaluation. Our environment is collaborative, supportive, and focused on generating actionable research to improve global health. Project focus: The candidate will contribute to a dynamic portfolio of
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