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. Passion for the energy transition and its multidisciplinary challenges (technology, economics, and policy). Nice to have: Knowledge on energy transition and PEDs. Experience with working in a multi
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(Computational) Linguistics, Education, Artificial Intelligence or a related field; The skills and knowledge for in-depth automated text analysis and the development and use of text quality metrics; The skills and
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discipline boundaries and abstraction levels Knowledge in integrated circuit design, testing and simulation using Cadence is a plus Knowledge of evolutionary optimization methods is a plus Very good
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
Skills/Qualifications Admission Requirements: a) To be enrolled at a PhD b) Hold a Master in Environmental Engineering or Civil Engineering c) Have knowledge in the field of Nature-Based Solutions
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). Background in modeling of dynamical systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python in the context of physics, knowledge of Linux/Unix 3) scientific
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python, Linux/Unix environment, ROOT package 3) scientific achievements in
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- experience in working in an optical laboratory proven by publications - knowledge of spoken and written English The candidate should have a strong background in experimental techniques, with experience in
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& qualifications are not all necessary, but highly welcomed: Very good academic English, written and spoken. Advanced knowledge in control theory. Knowledge in the design of electronic circuits. Prior experience