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Field
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Knowledge of deep learning architectures, graph neural networks, or uncertainty quantification Familiarity with HPC environments Language Requirements: Applicants must demonstrate at least B2-level
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econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management. As a member of the
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econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, business administration/ management / marketing. As a member of the team, you will deal
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for professional development and networking. Requirements MSc degree (or equivalent) in geology, geochemistry, environmental sciences, microbiology, or a related field by the first day of employment. Strong interest
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX
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Senior Researcher in Ecosystem based marine management, nature restoration, and anthropogenic imp...
on EBMM, nature restoration and anthropogenic impacts on ecosystems in the Baltic seas. Moreover, research experience on fish life histories and communities including field work is an advantage
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to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics, cyber defence
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involved in teaching at under/postgrad-uate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD
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: www.su.se/department-of-physics/. The Department of Physics and Stockholm University is affiliated to Stockholm Dual Career Network (SDCN) that supports expat partners with professional events, career-related
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Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful