20 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" PhD positions at Nature Careers in Denmark
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong interest in translational
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to James McPherson (mcpherson@sdu.dk ). Application, salary etc. Further information about the PhD programme at the Faculty of Science can be found at the University’s website. The successful applicant will
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part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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about career paths at DTU here . Further information Further information may be obtained from John Woodley: jw@kt.dtu.dk . MSCA doctoral network ELEGANCE website: https://elegance.dtu.dk/ . More
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paths at DTU here . Further information Further information may be obtained from Prof. Kresten Yvind, kryv@dtu.dk and Senior Researcher Minhao Pu, mipu@dtu.dk . You can read more about DTU Electro
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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
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(SNSPD). Additional responsibilities include developing efficient coupling of free-space optics to optical fibers, conducting extended data-taking runs with TES and SNSPD systems, and performing data
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analysis to extract information on atomic dynamics from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity at the single-atom level Understanding of atomic
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use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking for the best
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for working within an interdisciplinary research team Strong analytical skills and ability to work independently Ability to convert experimental data into useful functioning models Preferred qualifications but