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an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for 2
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context Development and application of qualitative and quantitative social science methods with networking to other working groups of the institute and department Acquisition and management of competitively
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before sending the compounds to our microbiologist collaborator. The net monthly salary is between €2,215 and €2,395 The contract duration is 48 months Where to apply E-mail laurent.gavara@umontpellier.fr
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, urbanization, increasing aridity) on these virus-host associations remains unknown. To tackle this problem, the postdoctoral fellow will develop new computational methods using network theory and/or state
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and control. Experience with physics-informed methods. Practical experience with networking, communication protocols, and virtualization. Preferred Knowledge, Skills, and Abilities Experience in
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and Education (CODE) section, at University of Twnete, working closely with AI specialists and data scientists. Methodologically, you will explore advanced deep learning approaches, including
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independently as well as together with the principal investigator and other team members, if applicable, with the proposed instruments. Analyse data quantitatively (statistics) and qualitatively (coding
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learning in neural networks within the ANR-funded MAPLE project, under the supervision of Dr. Bruno Loureiro . Funding is available for two years. Responsibilities Conduct research on the mathematical
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0326-NPP-NOV25-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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. Physical Review Research, 2, 043217, 2020). You will use our mature simulation code to carry out simulations. Knowledge of a python framework for machine learning is essential (e.g. TensorFlow), as is