124 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"U"-"O.P"-"Prof" PhD positions in Denmark
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achievements that demonstrate the ability or potential to produce high quality research outputs and publish in journals. A personal research plan which is consistent with the project. Experience, skills and
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join DTU and the Marie Skłodowska-Curie
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tasks will be: Plan and manage your PhD project in collaboration with supervisors Design and develop management and real-time operation tools for ePIPV Test controlling functionality in a state-of-the art
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applying new skills.[HS1] [PN2] It would further be beneficial if you have some of the following skills: Prior experience with mass spectrometry, proteomics, or microfluidics. Experience with programming
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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 performed by Professor Kasper S. Pedersen. We
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
an international seminar series, offers PhD courses in glycobiology and gene editing, and actively contributes to ICMM’s education programs. Principal supervisors are: Hans H. Wandall (hhw@sund.ku.dk ) Jesper
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an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as a PhD student. The PhD program will be carried out in accordance with Faculty regulations and the Danish Ministerial Order on
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three years. Employment stops automatically at the end of the period.(the 5+3 programme ). Further information about the PhD programme at the Faculty of Science can be found at the homepage
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programming languages such as C/C++, Python, Julia or similar. Experience with mathematical optimization software. Experience with machine learning packages. Excellent communication in English and interpersonal