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Field
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scientific coding and related analyzing tools (e.g., R, Phyton, MatLab) Publications in high-ranking journals Good collaboration skills and ability to work in an interdisciplinary team within marine science
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networking skills and the ability to collaborate and communicate effectively The successful candidate should have an international profile with respect to the above criteria. The candidate for this position
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selection and validation, supervised and unsupervised learning, optimization techniques, (deep) neural networks, probabilistic methods and statistics, data visualization, natural language processing
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("Advanced Wide Bandgap-based Power Processing and Management for Future Space Exploration") is a Horizon Europe MSCA Doctoral Network Joint Doctorate (DN-JD) initiative developed in collaboration with
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(CEN). The successful candidate will therefore benefit from close interaction with academia, industry, and code-development bodies, gaining access to an international research network and opportunities
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research environments at the university and collaborative research networks including Østfold University College. The research project will be supervised by Associate Professor Ida Bruheim-Escobar (principal
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with other PhD candidates and postdocs, and opportunities for research to stay with partners, both nationally and abroad, through its international network. This PhD position “Distributed Optimization
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explores the convergence of criminal, terrorist, cyber, and hybrid actors. 2.1 Transformation of Organized Crime ·AI-enabled organized crime ·Evolution of criminal networks in Romania and the region 2.2
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Network that aims to bring Electric solar wind sail (E-sail) from Low Earth Orbit (LEO) demonstration missions to the operational environment of the solar wind. It is delivered by 8 universities in
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respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe, and in the world