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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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-granting course integrated into an educational project of a higher education institution, developed in association or cooperation with one or more R&D units in the aforementioned scientific areas. 3
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areas include the development of interpretable and trustworthy algorithms for Scientific Artificial Intelligence and active learning, integrating FAIR data management practices throughout the research
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through their expertise and work in administration and organisation. They know how they can work best. Flexible, remote and with as much freedom as they need to develop their potential. You know, too? We
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to the discipline/area. May participate and/or present on the research developed, or the established work of those within the department. Job Description Primary Duties & Responsibilities: Implements: Algorithms and
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investigate suitable topologies, materials, and components to achieve high efficiency and scalability up to 500 kW. Advanced control algorithms will be developed to ensure stable power flow under varying
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developing algorithms for RNA-seq and whole-genome data. Learning Objectives: Under the guidance of mentors, you will have the opportunity to learn to: (a) conduct research using swine infection models; and (b
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
supervisor must prepare the final report in accordance with the respective assessment criteria that were established. Publication link Notice in PT and EN, on the INESC Coimbra website: https://www.inescc.pt
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algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed methods through practical case studies. Preparing