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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to enable graduates and doctoral candidates from Mexico to obtain further qualifications in Germany
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, Process Engineering, Computational Science, or a related discipline Strong foundation in fluid mechanics, gas–liquid two-phase flows, numerical methods (FVM, FEM), and two-phase flow instrumentation
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mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within the European Doctoral
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paid back in full or in part. This is based upon the guidelines of the Colfuturo sponsorship programme "Créditos-Beca para estudios de Posgrado en el Exterior". Selection Candidates are selected by a
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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timetable for the four-year project to be submitted to DAAD. Development of relevant analytical methods and setting up of required laboratory equipment will be conducted in parallel. Execution of the research
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of industrial processes. The Department Process Diagnostics develops highly precise measurement techniques, e.g., ultrafast X-Ray tomography, ultrasound techniques and inductive methods, to characterize
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-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development
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details Web: https://www.uni-kassel.de/fb10/institute/chemie/fachgebiete/computational-chemistry-of-nanomaterials/home.html Legal notice: The information on this website is provided to the DAAD by third
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results Your profile Completed university studies (Master) in the field of Chemistry, Radiochemistry, Geology, Mineralogy, Physics or related field Experience in experimental methods for analyzing reactive