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Institute of Applied and Computational Mathematics, Foundation for Research and Technology - Hellas | Greece | 3 days ago
/Qualifications PhD degree in Applied Mathematics, Engineering, Physical sciences or similar disciplines. Experience in molecular simulations of polymers, multi-scale approaches and/or machine learning algorithms
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isotope labeling, to establish turnover of hub molecules, their derivatives and PTMs. Qualifications and personal qualities: The applicant must hold a relevant Norwegian PhD or equivalent doctoral degree
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researchers, either just after completion of a PhD or for someone entering a new area for the first time. If you have already completed your PD1 stage in UCD or will soon complete a PD1, or you are an external
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of the Research Group, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and have an agreed role in supporting these students in their day to day
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on all levels of scholarly career are welcome: students, PhD candidates, early career researchers and senior scholars. We confirm our commitment towards the value of the diversity of our staff and student
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LevelPhD or equivalent Skills/Qualifications Who you are You have a PhD degree in Physics, Chemistry, Physical Chemistry or Material Engineering. You have a strong interest in CMP process modeling and
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the following qualifications: A PhD degree in physics, materials science or a related field, obtained within the last 3 years. Strong experience in programming and experimental X-ray techniques. Demonstrated
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work together with 5 professors, one postdoc and 5 PhD students. The project work language is English. The employment Fixed-term exployment, 12 months, with a percentage between 20% up to 50%, by
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well as several consulting, laboratory and simulation services in materials science.We are looking for highly motivate PhD-students who are interested in novel material related degradation analysis in the field
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Campus of the Auckland University of Technology. The successful applicant will have completed a PhD in ecology, with a preferred focus in the areas of forest restoration ecology and statistical modelling