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parte de los créditos correspondientes), así como la experiencia demostrable en algunas de las siguientes áreas: Sistemas U-Space, lenguajes de programación (TypeScript,JavaScript,Python), y simulación
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data analysis Strong foundation in mathematics Strong programming skills in Python (Python Data Stack, PyTorch, etc.). Good oral and written presentation skills in Norwegian/Scandinavian language
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. As a PhD candidate, your goal is to develop new methods for assessing climate risk due to consecutive droughts and at different scales in Europe. Based on these risk assessments, the PhD will develop
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) solutions, multimodal signal processing, and digital biomarkers for accessible sleep monitoring in adult and pediatric populations with different health conditions. The aim of the project is to develop new
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effects between regions with different policies; Identifying tipping points at which climate and transition risks cause the financial sector to shift from a facilitating to a constraining role in spatial
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concurrently exploring how age- and sex-related differences in key muscle qualities and force–velocity–power characteristics influence functional capacity, performance, and quality of life. Mechanistic profiling
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programming (Matlab and/or Python); Hands on with laboratory work, skilled in experimental design; Creativity, assertive attitude, and perseverance The selection process will start immediately; the intended
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. These differences introduce distribution shifts that can degrade model performance and reliability over time, particularly in “one-to-many” supervision settings where a single human operator oversees multiple agents
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
and broaden the scope of geophysical models. We will develop a neural solver that dynamically learns to solve the momentum conservation equations. Unlike traditional supervised learning approaches, our
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topology changes and transitions between different operating modes also constitutes a major challenge. Furthermore, this thesis will focus on the frugality of the proposed approaches, seeking to reduce the