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. Developing and applying state‑of‑the‑art artificial intelligence and machine learning (AI/ML) algorithms to discover robust prognostic and predictive biomarkers, and design clinically actionable treatment
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algorithms from technical sources (e.g., papers, notes, and group discussions) in close collaboration with group members. The work is primarily algorithmic scientific software development: implementing and
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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of research and innovation! Be part of change Software development of the DSP toolbox for LiFi system Implementation of algorithms and software development using C++, Python or MATLAB Technical documentation
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program aims to develop new sensing algorithms integrated
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partition functions; we will look to develop these connections further to obtain new counting algorithms. We will also investigate connections to correlation decay in the corresponding statistical physics
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using radiomic imaging algorithm in Hypoxic Ischaemic Encephalopathy). The Sophie project aims to develop a Neonatal MRI Biomarker for newborns with Hypoxic Ischaemic encephalopathy that is predictive