1,841 algorithm-"Multiple"-"U.S"-"Simons-Foundation"-"University-of-Wisconsin-Madison" positions in United Kingdom
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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algorithms, models, and their optimization techniques Knowledge of TensorFlow, PyTorch, etc. Effective communication (oral and written) skills, ability to write research reports and papers in style accessible
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animal interactions with marine energy devices. This work will involve independent design, research into sensing and instrumentation, test and validation, system integration, data processing and algorithm
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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using the Julia package Molly.jl on both CPU and GPU, as well as addressing relevant computational and algorithmic questions. You will become an expert in molecular dynamics methods and relevant protein
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to specification, within budget and on time. Through your exceptional client and project management experience you will manage the relationship between internal and external stakeholders, including multiple agencies
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algorithms that work in-the-loop, and deliver empirical work and publications. Main Duties and Responsibilities 1. Take a leading role in the planning and conduct of assigned research individually or jointly
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transmission methods (wired or wireless) will be optimised for robust data capture in natural sleep environments. AI-Driven Analysis: Develop advanced AI algorithms to analyse the collected sensor data, aiming
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and accurate registration of ultrasound scans of 3D-printed human skulls to MRI/CT head scans. The research associate will develop anthropomorphic head phantoms and algorithms for fast and accurate