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systems during off-shifts. Job Description Primary Duties & Responsibilities: Monitor software, computer, and telephone systems, as well as facilities terminology, to support the monitoring of building
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– DeepEruptive: AI for eruptive parameter estimations (petrology + CFD + tephra maps) Host/PhD: Sorbonne University (France) | Supervisor: Prof. Paola Cinnella Secondments: INGV (Italy); Ainoudo (France) DC9
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Intelligence-Driven Design of Ternary Alloy Electrodeposits: Deciphering the Interplay Between Plating Mechanisms, Process Parameters, and Coating Properties A PhD position is available in the Department
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements This position
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aims to address these challenges by establishing the necessary analytical framework, with a focus on parameter identification for models of various processes, such as tumor growth, traffic flow, and
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key processes within novel micro-bioreactors. This includes accurately modeling fluid dynamics, mass transport (e.g., oxygen, nutrients, metabolites), and other relevant physical parameters influencing
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enjoy working in a fast-paced environment. Knowledge of CPR and basic concept of abnormal vital sign parameters is a must. Candidate will also need strong organizational, prioritization, basic computer
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fast paced environment. Knowledge of CPR and basic concept of abnormal vital sign parameters is a must. Candidate will also need strong organizational, prioritization, basic computer navigation skills
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to facilitate perceptual learning of different stimulation patterns; and (iii) the development of advanced AI algorithms capable of converting camera input into real-time electrical stimulation parameters. In
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-paced environment. Knowledge of CPR and basic concept of abnormal vital sign parameters is a must. Candidate will also need strong organizational, prioritization, basic computer navigation skills, and a