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, their achievements and productivity to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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this project, we will develop new algorithms and computational schemes as well as further develop existing computational frameworks in the team. We will focus on two related frameworks in the project
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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration
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language processing, large language models, and speech analysis to conduct research on building algorithms for early detection of Alzheimer?s disease based on audio-recorded patient?clinician data. Contribute to prompt
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Civile e Ingegneria Informatica | Italy | 24 days ago
simulations and wind energy generation. The activity will be centered on further developments of the algorithms in PSCToolkit and their implementation on accelerator devices Where to apply Website https
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inverter topologies (e.g. Dual inverter, 4 bridge inverter) with modern semiconductor devices (GaN, SiC) The aim is to implement own designed algorithms in a signal processor and simulation environment
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, social benefits, and training opportunities. More information: https://en.bsp.uw.edu.pl/researchers/ Basic responsibilities and obligations The selected candidate will: • conduct scientific research in
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emerging tools related to the group's activities. Notably, the Green Algorithms Dashboard for HPC (https://dashboard.green-algorithms.org/login ) and the popular online calculator (https://calculator.green
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develops solutions for a range of vision tasks via machine learning and deep learning algorithms. The SSUDIO project aims to identify various objects of interest from shipboard 3D scans by training computer