118 professor-computer-"https:"-"https:"-"https:"-"Universidade-Portucalense-Infante-D" PhD positions in Denmark
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, microfabricated devices, 2D materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. For all topics, experience in
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, microfabricated devices, 2D materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. For all topics, experience in
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are strongly encouraged to apply. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competences within computational modeling of large-scale atmospheric processes in
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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid
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supervised by Professor Morten M. Smedskjær. The group offers a vibrant research environment, featuring cutting-edge computational and experimental facilities and strong interdisciplinary collaboration
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an ongoing research programme on physician leadership and will be carried out in close interaction with relevant stakeholders and practice partners. It is highly recommended that interested candidates contact
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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 applicants will be made by Associate Professor
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researchers is a priority. In your daily work, you will report to assistant professor Iben Have Beck and professor Tina Kold Jensen but you will be expected to contribute to the whole research unit. Project
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conference travels and research visits abroad. For further information about the PhD program, please contact PhD coordinator, Associate Professor Romana Careja, e-mail rca@sam.sdu.dk . Application
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Promoting a Green Transition What we expect: The applicant should have completed a Master’s degree (MS / MSc / MTech / ME etc.) in Software Engineering, Information Technology, Computer Science, Artificial