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and ML-based constitutive modeling, finite element technology, and microstructural simulation tools. This position is ideal for candidates who enjoy working in a research environment, building high
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neuroengineering. The Cullen Lab investigates how the brain encodes and integrates self-motion to guide perception and motor behavior, with the goal of advancing approaches for restoring motor control and sensory
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. Thus, this project aims to develop phage- and AMP-based sprayable formulations for the control of plant bacteria. This project will generate viable alternatives to traditional pesticides, with less
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(2024) https://www.nature.com/articles/s41591-023-02702-z Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. https://pmc.ncbi.nlm.nih.gov/articles
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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
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research partners Full time, ongoing role based in Hobart About the opportunity The Stock Assessment Scientist - Scalefish will contribute essential, high-quality science to support the sustainable
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, hydrological modelling, AI-based methods; Experience with programming languages (e.g. Python); Motivation to cooperate in a diverse and multidisciplinary research team; Strong social and communication skills
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 1 day ago
of intervention effects. In previous projects, such as “EXPLAINATION”, we developed explainable artificial intelligence (XAI)-based assistance tools to support the diagnosis of dementia. In the upcoming project
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spending controls. Financial Management and Control (25%) Track and report on endowments, gifts, grants, and operating funds ensuring compliance and stewardship. Support year-end close processes, prepare
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assist in research and development efforts related to controllable generative AI for synthetic image generation.Tasks: Deepen understanding of controllable generative AI concepts and methodologies