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Field
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learning and physics, addressing key challenges in modern quantitative biology. The successful candidate will be responsible for: • Develop and train deep learning models (CNNs, ...) data to predict IPLSs
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will collaborate with dedicated colleagues, have access to modern research infrastructure, and enjoy strong opportunities to attract external funding. You will have the space to make a real difference
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for structured data is particularly relevant. A strong understanding of modern deep-learning architectures and training strategies, and experience designing and rigorously evaluating new machine-learning methods
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The Faculty of History wishes to recruit a Research Assistant/Research Associate within the broad field of 'Modern Dravidian History and Politics 1945-to the present, working under the supervision
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. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and they make
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before the start of employment), very good experimental skills in modern imaging methods, microscopy, optical design, and optical measurements, 4 or more years of experience in the field, good programming
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 17 days ago
. Description: Modern astrophysical instruments are making increasing use of advances in high-speed digital electronics to enable new discoveries. The current focus of our group at Goddard is developing readout
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. Leadership and excellent organizational skills. Ability to work in a team. Very good English (both written and spoken). Experience in neuroscience and experiments on mice will be an additional benefit
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. Excellent written and spoken English. ADDITIONAL SKILL Experience with markerless motion capture, AI-based pose estimation, and multi-camera acquisition systems. Knowledge of computer vision, 3D
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tabular foundation models or foundation models for structured data is particularly relevant. A strong understanding of modern deep-learning architectures and training strategies, and experience designing