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at the nanometer scale, in order to benchmark ISOM. On the computational side, the work will focus on the implementation of reconstruction algorithms and calibration methods.ES, regular (weekly) meetings will be
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: The objective of this task is to develop a decision-support model to assist in the selection of diagnostic and prognostic algorithms by jointly optimizing energy and computational costs. Two goals are pursued: (i
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/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint
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Overall, Purpose of the Job We are looking for one Research Associate to work on the development, implementation and testing of predictive control algorithms for the optimal coordination
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patients with eye infections, specifically corneal ulcers, through deep learning image analysis algorithms applied in clinics and health-system interventions. The goals will be for the student to get
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. Skills: Analytical Thinking, Artificial Intelligence Algorithms, C++ Programming Language, Communication, Data Analysis, Feature Engineering, Git, Independent Problem Solving, JavaScript, Linux
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during surgery or endoscopic exploration. This postdoctoral position aims at developing innovative deep learning algorithms to help histology classification. Both classical histology based on hematoxylin
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, algorithmic exploration, and collaborative research, rather than independent program leadership. This position is well-suited for candidates in the early stages of their career. Essential Job Duties Conduct
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Learning for Data Efficiency. Design and implement novel active learning algorithms tailored for deep generative models. The system will iteratively evaluate its own performance and identify the most
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considerations and algorithms for protocol documents according to study design and appropriate statistical methods, manage and maintain documentation of files and analyses. This person will summarize and present