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to Neuroscience, Physiological Psychology, Cellular Neurobiology, Computational Neuroscience, Neurodevelopment, and Neuroscience Research Methods or upper level course in a Neuroscience Specialty area
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. PhD level training in the methods of economics. Experience: Seven years of work experience in a related field. Knowledge of and experience running randomized control trials. Prior experience working
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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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of tree responses to climate stresses (e.g., heat and drought) and pathogen outbreaks. Use of advanced gene editing and synthetic biology methods suitable for trees, including but not limited
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combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough
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software maintenance and electronic file maintenance. Use of multiple computer systems for method validations and verifications, document control, online continuing education, and training. Set up, maintain
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team
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vision, animal welfare, and behavior. The position is aimed at a method-oriented researcher interested in developing and applying computer vision–based methods in real-world settings. The project is part