157 programming-"Multiple"-"Duke-University"-"FEMTO-ST-institute" "U.S" PhD positions in Denmark
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, particularly GBS, continuous-variable QC Experience with numerical simulation, statistical estimation, or probabilistic modeling. Programming proficiency (Python, Matlab or C++), especially for numerical
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years. Employment stops automatically at the end of the period. The holder of the scholarship is not allowed to have other paid employment during the three-year period (the 5+3 programme ). Further
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or dissertation project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme. List of publications
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Food Science programme. The position is available from 01
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candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty regulations
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about 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 based
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knowledge of production engineering technologies and manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming
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manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical