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international research environment hosted by the NNF Quantum Computing Programme (NQCP) at the Niels Bohr Institute, University of Copenhagen. Principal supervisor Jan Westenkær Thomsen The PhD programme
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-year master's degree and with an interest in simulation and machine learning. This position is funded under the DTU-JRC Collaborative Doctoral Partnership. Responsibilities and qualifications Your
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probabilistic machine learning project with applications in bioscience. As part of the project, you will be involved in Conducting original research in probabilistic machine learning, within the topics mentioned
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According to the mobility requirements of the MSCA guidelines candidates must not have resided or carried out their main activity (work, studies, etc.) in the country of the host organization (i.e. Denmark in
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available through University of Chinese Academy of Sciences in accordance with Chinese national regulations. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree
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for valorizing aquatic biomass in integrated value chains, from primary production to processing into innovative products and services. The main challenge in this assessment is answering prospective questions
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basic education at master's level (corresponding to the 3 + 2 Bologna process) • have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale
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analyses Demonstrated research background, inclusive of master thesis or articles published on pertinent subjects (e.g., time series analyses, ocean sensors, acoustic and optical data processing, automation
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involved in the daily supervision of master and bachelor students. You will publish and present your work both at international conferences and in scientific journals with high impact. You will assist in
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for the announced position. The Department consists of some 75 faculty members, as well as some 25 PhD students, organized in four main research groups and a few centres. For more information on the Department