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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
Position overview We are seeking applicants for an 18-months postdoctoral fellowship focusing on the development of an AI-based phenotyping system for high-throughput screening for aphid
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environmental quality. The fellow will contribute to field and laboratory studies, data analysis and modeling, publication of results, and development of decision-support tools for producers, advisors, and agency
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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(NSCLC) will be carried out by a consortium with six partners from Turkey, Germany, Greece, Spain and Latvia. The project aims to identify tumour and blood-based biomarkers linked to immune/cellular
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
(GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET
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fisheries management. The successful candidate will be physically based at University College Cork (Ireland) within the Department of Geography and/or one of several BIM offices. They will also have the
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developing LLM-based applications using Python APIs. Experience with large scale molecular dynamics (MD) packages e.g. lammps Experience with version control (e.g., Git) and collaborative software development
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based
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structural imaging (tractography, voxel-based morphometry, etc.) Experience working in the area of motor control and cognition Comfortable analyzing data in Matlab, Python, or similar languages Ability to work
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 1 month ago
absorption. Developing fast spectral radiance simulation techniques and implementing the observational system simulation experiment (OSSE) based on GISS climate model, which will be applied to research