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, electronic integration, algorithms, and end-use applications. As Assistant Professor in Photonic Neural Networks, you will: Develop an independent research program in hybrid neuromorphic photonics, spanning
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Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop
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particular, the work plan includes the following activities: - Develop a methodology for interpreting and digitizing fire safety regulations for buildings using Artificial Intelligence algorithms, including
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of the key components of the project is the apply machine learning algorithms on video data to extract human behavioural patterns (from egocentric and exocentric views). For that purpose, we are looking
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cohorts and data generation resources through highly collaborative clinical faculty. Ideal candidates will have expertise in computational modeling, machine learning, or algorithm development, with
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of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation
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in grant development (including methodological proof-of-concept work) and in writing first-author publications in high-impact journals. Where to apply Website https://www.academictransfer.com/en/jobs
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Offer Description The successful candidate will be expected to work primarily on aspects related to precision predictions for the LHC and parton-shower simulations. The project encompasses the development
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and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 1 month ago
a competition for the position of postdoctoral position (assistant professor) in the NCN Sonata-18 project entitled: Parallel and exact algorithms for path problems in directed graphs. About the