1,068 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"L2CM" PhD positions
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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-funded research project dedicated to experimental quantum foundations and indefinite causal order. • You will present your research plan to the faculty and complete a dissertation agreement within 12-18
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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan
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with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI-based approaches. You are self-driven, curious, and able to work
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enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for thePhD education
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) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application
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will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs. Identify opportunities to apply AI to improve existing
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must have the following: • Master’s degree in physics or optics. • Excellent track of records. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming skills in
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of records. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Strong programming skills in MATLAB / Phyton • Team player skills and enthusiasm to work in a multi
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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and