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which 37 are Faculty members and 50 PhD candidates. Work tasks/research field We are seeking a candidate with a strong research profile in combinatorial optimization who can contribute to excellence in
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
to the rapid exploration of novel materials chemistries—such as compositionally complex energy materials—using high-throughput, combinatorial synthesis strategies. The position involves working
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institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning
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considered, preference may be given to applicants whose work bridges theory and applications in data analysis, discrete mathematics, linear algebra, or optimization, and they are especially encouraged to apply