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, Robotics, Computer Science, Statistics, or related discipline. Strong background in Machine Learning and Control Theory. Demonstrated experience in research projects with industrial partners. Excellent
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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of control theory and optimization. Knowledge of partial differential equations. Have a strong coding ability Research Associate: Hold a PhD in Engineering, Mathematics or a closely related discipline, or
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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project supported by an ERC Advanced Grant on the Theory of Materials for Bioelectronics. The overall goal of our research is to describe a class of organic materials able to transport ionic and electronic
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feel at home in political theory its application to empirical and/or qualitative research. Preferably, you also have experience in comparative political research. You can work in a small and close-knit