19 algorithm-development-"Multiple"-"Prof"-"UNIS" "DIFFER" Postdoctoral research jobs
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- George Washington University
- KINGS COLLEGE LONDON
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Bergen
- Institute for bioengineering of Catalonia, IBEC
- King's College London
- Missouri University of Science and Technology
- Oak Ridge National Laboratory
- Pennsylvania State University
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- Technical University of Denmark
- University of Central Florida
- University of Oklahoma
- Université de Bordeaux / University of Bordeaux
- Wageningen University & Research
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. The open positions are attached to three different collaborative projects with related but distinct goals, all making use of our expertise in squeezing-based entangled states of light: ClusterQ (ERC): A
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, notably: The interpretation at different time scales (note, pulse, measure, ...) guided by tempo adaptation strategies The development of a simplified improvisation system using a meta-instrument The
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. We have multiple NIH-funded projects to study the influence of FDA-approved GLP-1R agonists on drug seeking and reinstatement in rodents. A newly funded NIH R01 has the goal to determine who may be
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demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare
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demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare
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algorithms, ideally in the healthcare or mental health domain Desirable criteria Track record of successful research grant applications, or attempts to obtain grant funding. Previous development of ML-based
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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the analysis of multimodal spatial omics data across multiple projects, collaborating closely with experimental biologists. Main tasks and responsibilities: Develop and implement robust computational pipelines
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for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
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of the AI algorithms. Key duties Develop a robust framework to simulate streamflow decomposed into fast-flow and baseflow at multiple Moroccan watersheds. The candidate would have to test various fast-flow