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Libman alexander.libman@fu-berlin.de or Prof. Dr. Tomila Lankina T.Lankina@lse.ac.uk . Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF
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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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. Our research brings together social theory, empirical studies guided by a range of interpretive methodologies, and the critique as well as advancement of interventions and social policies. We
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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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contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing
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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
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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including moral group phenomena more prominently in the development of theories of moral agency, moral responsibility, blame and praise. And in a second step, based on this novel methodology, the project