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Field
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research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km
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forecasting and edge computing for geoscience applications. Expected outcomes include: Development of machine-learning models capable of predicting sea-ice drift and deformation at 100–500 m spatial resolution
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computational language technology (particularly LING3804, AI Models of Language), and to the development of materials for a one-credit hour module for an AI-centered multi-modular course, in service of OSU's AI
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The International Centre for Mathematical Research (CIRM
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QUALIFICATIONS AND EDUCATION: Skillful with cryo-EM data processing and structural refinement software (e.g., cryoSPARC, RELION, Phenix, Coot). Expertise in computational modeling and structure-based protein
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Job Title: CAES – Postdoctoral researcher in Modeling and quantitative analysis for efficient use and sustainable management of water at the Farm-Scale in semi-arid regions Job Description
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the research project in which
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Start date: September 2026 (flexible) Duration: 3 years (36 months) Project The High Performance Computing (HPC) research group (Prof. Florina M. Ciorba), Department of Mathematics and Computer
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 27 days ago
28 Mar 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Researcher Profile First Stage
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, with a particular focus on predicting nuclear magnetic resonance (NMR) parameters and using these predictions to inform structural models. The successful candidate will parameterise and validate machine