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Field
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learning pipeline in Python (using e.g. PyTorch) - validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) - publication and presentation of your
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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relevant events. Where to apply Website https://www.academictransfer.com/en/jobs/359117/2-phd-positions-in-statistics/a… Requirements Specific Requirements Essential We are looking for someone with a
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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with machine-learned quantum mechanical force fields trained on diverse chemical fragments. Sci. Adv.10, eadn 4397(2024) Where to apply Website https://ecolecentraledelyon.recruitee.com/ Requirements
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until obtaining a PhD Carry out research of good quality within the framework described above Academic publications and popular science dissemination Participate in the research group SIMLab (https
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communication skills in English.-A collaborative and curious mindset.-Experience with biological or solid-state nanopores, DNA nanotechnology, single-molecule microscopy, or programming/data analysis (e.g., Python
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · research and development of methods for acceleration of parallel applications in the High Performance