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models. TensorFlow or PyTorch is desirable. How to apply To apply, please ensure you have digital copies of the below information: • Curriculum vitae; encompassing any research presentations and/or
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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elicitation. Integrated in an international team of collaborators (CCMAR PT, CNRS FR, GEOMAR DE & NORD NO), combining expertise in kelp cultivation, defense elicitation, the kelp microbiome, ‘omics and
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of funding. Unit/Department Summary https://www.uidaho.edu/cnr/departments/forest-rangeland-and-fire-sciences Administrative Summary Contingency Description This faculty appointment is contingent on funding
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This project will investigate artificial intelligence (AI) to improve weather forecasts and use crop models for making better farming decisions. The expected outcome is protocols for integrating AI
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-equilibrium relaxation (coarsening and ageing), ice and water models, and quantum phase transitions. The emphasis of the school is on fostering close collaboration between the PhD students in Leipzig and Nancy
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have