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of performance, speed, and precision. Key Responsibilities: Design and implement genAI models for embodied AI systems. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks
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-reviewed literature. Utilize and manage in vivo models to investigate molecular and physiological mechanisms of OSA and cardiovascular dysfunction. Conduct animal procedures, tissue harvesting, histological
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 5 days ago
expertise in optical instrumentation, measurements on complex systems, data processing, and physical modeling. Strong knowledge of physics and algebraic calculus. Proficiency in programming complex
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Licence (or equivalent in home country) Experience of using in vivo mouse models to assess immune responses High level analytical capability Ability to communicate complex information clearly Ability
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the Sterne-Weiler Lab i n Computational Biology / Discovery Oncology. The postdoctoral position is focused on developing and applying foundational AI models to investigate clinically relevant cancer
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, conducting field trials of such interventions is challenging due to complex logistics and uncertain outcomes. We aim to develop novel methodological strategies that can reduce the resource requirements
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integrate complex flow on Discrete Fracture Networks (DFN). The objective of this project is to develop a tool to generate DFN models amenable for multiphase flow, and scale up the model to be usable with
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40 hubs promoting sustainable, car-free travel. The Research Fellow will help refine hub design, assess impacts using HLTH frameworks, and model co-benefits to support future investment and stakeholder
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research investigating novel treatments for neurodegenerative diseases such as motor neuron disease, particularly through the use of zebrafish, rodent and cell culture models of the disease. You will be
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conduct a complex medium-throughput assay using 3D skin models, as well as design and implement methods for validating screening hits. The work is part of a high-stakes project that looks to develop a new