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FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department of engineering Technology (INDI) — Thermo and Fluid
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Europe | 23 days ago
-light scattering on coupling in MCFHost institution: CNRS-PhLAM, FranceSupervisors: Prof. L. Bigot (CNRS-PhLAM), Prof. Y. Quiquempois (CNRS-PhLAM)DC 4 – OpenProject Title: Innovative MCF amplifier
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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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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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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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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 agricultural innovation, exploring how advanced weather forecasting, crop modelling, and digital decision tools can be harnessed to support smarter, more agile on-farm decisions. It offers a unique opportunity
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(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. To this end, extended
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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