34 programming-"Prof"-"Fermilab"-"UCL"-"Embry-Riddle-Aeronautical-University" positions at Technical University of Denmark in Denmark
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screening and characterization to generate and validate novel enzymes with tailored specificities. Under the joint supervision of Assoc. Prof. Birgitte Zeuner and Assoc. Prof. Timothy P. Jenkins, the PhD will
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the supervision of Prof. Massimo De Vittorio. You will be a part of the IDUN Center of Excellence, led by Prof. Anja Boisen at DTU Department of Health Technology (DTU Health Tech). IDUN is a highly cross
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binding assays, biophysical characterization, and functional studies. Under the joint supervision of Assoc. Prof. Timothy P. Jenkins and Assoc. Prof. Chiara Francavilla, you will join a vibrant
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, biophysical characterization, mass spectrometry (MS)-based proteomics, and functional studies. Under the joint supervision of Assoc. Prof. Timothy P. Jenkins and Asst. Prof. Konstantinos Kalogeropoulos, you
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof. Piotr de Silva and Prof. Juan
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Job Description DTU Management would like to invite applications for a 3-year PhD position starting no later than October 1st, 2025. You will work under the supervision of Associate Prof. Filipe
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidates will be made by Prof. Niels
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funded by the Novo Nordisk Foundation and led by Assoc. Prof. Janus Juul Eriksen @ DTU Chemistry – revolves around the development of new decompositions of molecular properties into local contributions
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) or a similar degree with an academic level equivalent to a two-year master's degree.[BN3] [SK4] Strong programming skills in Python and MATLAB Background in biomedical signal processing, ML, and BCIs
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-reviewed publications, conference presentations, and collaboration with project partners This research will be conducted under the supervision of Prof. Mehdi Savaghebi and Associate Prof. Kristina Vaarst