988 machine-learning-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" Fellowship positions
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
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multiple world renown Military Treatment Facilities across the nation, i.e. Walter Reed. In-line with the congressionally directed mission of the EACE, our clinical team focuses on development of clinical
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selection. This research is conducted in a collaborative environment within the lab and larger unit, so the participant will learn how to perform both independently in the field and as part of larger teams
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traits in oats. Participate in data collection and genetic analysis of FHB resistance. Write manuscripts and present research at scientific conferences. Learning Objectives: The participant will receive
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relevant to integration of machine learning and mechanistic models, and development of engines for efficient processing and visualisation of large-scale datasets and system geographic information and
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date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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projects related to comparative effectiveness and patient-centered outcomes research, all in support of Office of the Secretary priorities led by ASPE. Learning Objectives: Under the guidance of a mentor
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with verifiable experience in longitudinal data analyses methods, structural equation modelling, network analysis, machine learning and/or adaptive trial design. Essential are outstanding academic
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to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning, and seasonal weather forecasts. As a