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Field
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programming skills in python and preferably a compiled language such as Java or C++. Clear evidence of deep learning proficiency, reflected through coursework and GitHub repositories. Postdoctoral candidates
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models, with a focus on their applications to next-generation MR image reconstruction. Train deep neural networks; perform quantitative data analysis, collect and analyze data, including periodic
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, robustness under varying turbulence, and autonomy for distributed systems. To address this, the group integrates Artificial Intelligence into AO control loops, using deep learning to handle sensor
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coursework and GitHub repositories. Postdoctoral candidates must have extensive expertise in deep learning for medical image analysis. We welcome applications that only partially qualify these requirements but
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Research, and Meta. Responsibilities: The Postdoctoral Fellows will be responsible for leading ongoing innovative research projects. Examples include: The development of probabilistic deep learning models
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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A postdoctoral associate position is available to study the molecular and circuit basis of sleep. We use sophisticated genetic approaches in Drosophila and mice to study the genes and circuitry
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(pcmlab.co.uk ) to develop a prototype tool for utilizing this prediction tool in a clinical environment. About You You will have expertise in deep learning and programming. Experience working with medical
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concretely your work package contains: We invite applications for a fully-funded postdoctoral researcher within the newly-awarded imec.icon project “Learning by Explaining Multimodal Medical AI (LEMMA)”. Why
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Researcher in FPGA-based AI Hardware Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion