72 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Technical University of Denmark
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, retrapping, tunnelling, and recombination, based on their respective transition probabilities. Use machine learning approaches to optimize model performance and run simulations over multiple time scales
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electronics, fluidics system, and data collection hardware (based osingle-board computer systems, e.g., ESP32 or similar). Demonstrate prototype applicability under simulated lab-based and real-life conditions
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, fluid mechanics, solid mechanics, materials science including phase changes, numerical mathematics and data analytics based on statistics and/or machine learning. Each of the postdoc positions will be
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would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Postdoc. Read on to learn more! About the research program - Closed Loop AI
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molecular approaches such as sc-RNAseq Machine learning, Python and R Immunology and Cancer biology FACS sorting and analysis We offer DTU is a leading technical university globally recognized
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Job Description Could you imagine “seeing ” chemical reactions at the atomic-scale? The Center for Visualizing Catalytic Processes (VISION) is offering Postdoc positions for experimental research in
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processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more
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of a world leading research environment and contribute to the development for the next generation scientific machine learning tools for power systems. One Postdoc will be the scientific lead of a small
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with the team. Present findings to the team, supervisor, and scientific community, promoting the lab's reputation. Write reports for sponsors, research grants, and submit publications to journals. Teach
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interpretation or to directly apply to macroscopic models Teach and supervise BSc and MSc student projects and co-supervise PhD projects Communicate your research results to academic and industrial partners