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analysis is highly desirable. Experience with Earth observation or remote sensing data is a strong plus. Proficiency in programming in Python and experience with PyTorch, Scikit-Learn, or related modern
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, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good programming skills in Python/C/C++ Good oral and written skills in English
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statistical learning for high-dimensional data, solid programming skills (including R or Python) and a strong interest in interdisciplinary research with applications in molecular biology and cancer research
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that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval in the weak holographic regime
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. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase
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for the project. Have documented programming experience in R, Python or other common programming languages. Have experience of quantitative analysis, computational modelling, bioinformatics, machine learning
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statistical learning for high-dimensional data, solid programming skills (including R or Python) and a strong interest in interdisciplinary research with applications in molecular biology and cancer research
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capable of stereotaxic surgery and handling delicate recording probes. They should be strongly self-motivated, ambitious, and able to use Python and/or MATLAB to analyze neural and behavioral datasets
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selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Personal
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Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Experience with predictive maintenance, fatigue, fault detection