199 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" PhD scholarships in Denmark
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and inference with cluster-dependence, high-dimensional parameters, or outliers. Other possibilities could be, for example, theory of bootstrap or nonparametric inference. For more information and
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information may be obtained from Professor Tomislav Dragicevic (tomdr@dtu.dk ). You can read more about DTU Wind and Energy Systems at https://wind.dtu.dk/ If you are applying from abroad, you may find useful
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speaking Danish. The candidate is expected to fulfil the criteria for enrolment as a Ph.D. student at the University of Southern Denmark. For more information, please visit: (https://www.sdu.dk/en/forskning
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. If these problems remain unidentified, they can result in incorrect clinical decisions and poor patient management. In this PhD project, you will collect experimental data describing the changes in blood due to pre
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researcher in SDU Robotics. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information about this position is available via email from Tenure Track
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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to the applicant him/herself. You can find more information about the recruitment process at: https://employment.ku.dk/faculty/recruitment-process/ The applicants will be assessed according to the Ministerial Order
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collaboration with staff scientists in the team - publish scientific articles based on the data you generate - present research findings at research meetings and conferences Your profile: We seek candidates
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attention. We ask what can be done with experimental lab data in cases with variations of anisotropy. In addition to research tasks, you will take courses for 30 ECTS and both general and specific topics, and
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another