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, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and
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secondment is to the group of Prof. Kemerink at the University of Heidelberg, Germany, for the simulation and identification of organic p-n junction doping structures for efficient emission. The second
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secondment is to the group of Prof. Kemerink at the University of Heidelberg, Germany, for the simulation and identification of organic p-n junction doping structures for efficient emission. The second
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
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=9b89bead79bb7258ad55c8d75228e5b7&job_id=38346 For additional information about this DC position, please contact the scientist-in-charge/supervisor: Assoc. Prof. Margarita Trobos, e-mail: margarita.trobos@biomaterials.gu.se Some
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&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=38347 For additional information about this DC position, please contact the scientist-in-charge/supervisor: Assoc. Prof. Margarita Trobos, e-mail
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, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms
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? Horizon 2020 Reference Number 853--1-27468 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Organic Nanoelectronics group, led by Prof. Simone Fabiano
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diversity, and therefore particularly encourages women and those outside the gender binary to apply for the position. For additional information, please contact Assoc. Prof. Johanna Björklund (johanna
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diversity, and therefore particularly encourages women and those outside the gender binary to apply for the position. For additional information, please contact Assoc. Prof. Johanna Björklund (johanna