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candidate to develop Machine Learning models and frameworks for time series analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level
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Requirements: Candidates meeting the following criteria can enter the competition: scientific achievements and requirements for the position applicable at Wroclaw Medical University (vide: http://www.umw.edu.pl
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plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European
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in statistical modelling is an advantage. The project involves close interdisciplinary collaboration between statisticians and NLP researchers at Integreat. The position is also affiliated with
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in the μ-opioid receptor. The PhD candidate will: • generate high-resolution models of wild-type and R181C mutant μ-opioid receptor based on existing crystallographic data and perform molecular
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Vision Center (CVC, https://www.cvc.uab.cat ) is a center with over 150 persons, working on machine learning and computer vision research for more than 30 years, placed at the Universitat Autònoma de
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Université Paris-Saclay GS Géosciences, climat, environnement et planètes | Orsay, le de France | France | about 2 months ago
sustainable exploitation. This PhD aims to conceptually model the hydrogeological functioning of natural hot springs in the Eastern Pyrenees, located at the border between Spain, Andorra, and France. The goal
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synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation, as well as new measures of privacy and fairness to be used for assessing properties
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managing distributed assets, market participation, and social acceptance. The main research objectives of this project are to: Develop AI-based models for multi-objective portfolio optimization or multi
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organoid culture protocols, with a strong focus on patient-derived organoids and cancer organoids. Establishing robust 3D cell culture models, including optimization of culture media, extracellular matrix