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- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
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- Josep Carreras Leukaemia Research Institute (IJC)
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, Hospital Clínic, Hospital Sant Pau, Hospital Josep Trueta, Hospital del Mar and Hospital San Joan de Déu. This facilitates close collaboration between basic and clinical researchers, fostering translational
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ecosystems in a changing world. The CIDE-CSIC, in collaboration with the University of Valencia, invites applications for a Doctoral Candidate position within the Marie Skłodowska-Curie Actions Doctoral
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a genuine interest in quantitative and mechanistic approaches to cancer biology. Good organisational skills, capacity to work both independently and collaboratively in a multidisciplinary environment
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machine learning for audio and acoustics - Research in experimental techniques in acoustic -- - Investigación en procesamiento de señales y aprendizaje automático aplicados al audio y la acústica
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Position Description The project will focus on the development and application of advanced data-analysis techniques for gravitational-wave science, including machine learning and deep learning
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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advanced instrumentation (ACSM, Xact, SMPS…) and machine-learning techniques. The selected candidate will work in a multidisciplinary and international research environment, contributing to the assessment
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communication skills. Curiosity, rigor, and a strong willingness to learn. Strong ability to work both independently and as part of a team, given the collaborative and interdisciplinary nature of the project
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results. ● Deploy the results developed in the first stage to linear value function estimation problems in reinforcement learning theory. Establish the foundations to generalize the results to non-linear
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, Environmental Sciences, Chemical Engineering, Data Science, Geology, or related disciplines. Specific Requirements Programming skills interest in machine learning techniques. Ability to work in an organised