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commitment in a growing research group and are willing to work closely with industry partners. You are fluent in English, both spoken and written. Experience in national and/or European research projects is a
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, graph theory, satisfiability problems, discrete optimization. Strong interests in chemistry as well as proven competences in programming and ease with formal thinking are a necessity. This PhD project is
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has an educational background in the social sciences, insight into entrepreneurship and skills in both quantitative and qualitative methods. Applicants must be fluent in English. Approval and Enrolment
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optimization. Have knowledge about implementation of metaheuristics. Be passionate about research and pushing the scientific frontiers. Have excellent programming skills. Have good collaboration skills. Be
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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researchers in securing significant external research funding. Supervise PhD students and contribute to the development and delivery of PhD education and training programs. Conduct and lead high-impact research
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researchers in securing significant external research funding. Supervise PhD students and contribute to the development and delivery of PhD education and training programs. Conduct and lead high-impact research
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(deep neural networks) Probability theory Computer vision Robotics Programming skills (Python, C++) and ML libraries (PyTorch, Tensorflow) Preferably, the candidate has experience with: Bayesian machine
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, experience in degree programme and curriculum development at universities or similar institutions will be an advantage. The successful applicant will be expected to teach in English and, within a three-year
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including PhD students and postdocs. Also, a good sense of humor will be appreciated. Good English language skills will be required. The main criterion for selection will be the research potential