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of mechanical and physical properties of thin carbon/boron-nitride nanotube (CNT/BNNT) films. The goal of the project is to calibrate an existing numerical model and reproduce the realistic mechanical properties
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develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
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and researchers from multi-disciplinary backgrounds, and several industrial partners. Your qualities You hold a PhD degree in Computer Science, Applied Mathematics or Operations Research, or you are
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, data analysis, writing and publication) Support the setup and management of the overall project including data management and ethical clearance Be involved in the daily supervision of PhD students
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developing analytical models to describe the optical properties of the structures. The postdoc will work with PhD candidates to compare the theoretical and experimental results. In addition, the candidate will
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consisting of two PhD candidates and the Principal Investigator Judith Verweijen. Your main role will be to develop and conduct research exploring local perceptions and experiences of climate change, armed
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responsibility of the biological part of the group, with possible involvement in the supervision of 1-2 PhD students. You will work in collaboration with the other members of the PACT4EYE consortium and actively
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setting, alongside a postdoctoral and PhD researcher, to integrate models and data from different fields (e.g. economics, public health, environmental science). Specifically, you will: Further extend
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please use the following link: www.rug.nl/research/ape Qualifications Candidates should have a PhD degree in materials science and engineering. A strong background in chemical vapor deposition and
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scientist who likes to work with and/or develop new spectroscopic instruments? And do you hold a PhD degree in physics (photonics), electrical engineering or a related field? Would you like to be involved in