130 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "Dr" "FEUP" research jobs in Belgium
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%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant
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report on your progress regularly. You will participate in the doctoral study programme at the Antwerp Doctoral School to support your PhD pathway. You will present the findings of your PhD research
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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the supervision of PhD students. Profile You hold a PhD in physics, mathematics, engineering or computer science from a non-Belgian institution (or you will have obtained it by the time you start work). You have a
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant
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microscopy image interpretation), biological and medical sciences (neuroscience and brain microstructure), and computer science (machine learning and artificial intelligence) to achieve a breakthrough in
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of microplastics detection methodologies.Support for professional development, networking, and career advancement. Application procedure For more information please contact Prof. dr. ir. Maarten Roeffaers, tel.: +32
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. Funding The fellowship holder will be appointed as dr. assistant with research assignment for the duration of the fellowship. The fellowship holder will receive a bench fee of €4.000/ year. FWO resubmission
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by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission