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Field
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strong interest in developing new theory and methods for signal processing and machine learning strong mathematical background good proficiency in programming (preferably in Python) good oral and written
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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Actuators, using the two main existing methodologies. Carry out the experimental implementation of plasma actuators in wind turbines. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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Specific Requirements - modélisation numérique - méthodes inverses / méthodes d'optimisation - programmation python - écrire et parler en anglais - expérience en glaciologie appréciée- Numerical modeling
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in a relevant field (e.g., computational linguistics, digital humanities) Excellent programming skills, with extensive experience in Python Extensive experience with recent Python-based machine
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Python; knowledge of the literature in: consciousness studies, both experimental and conceptual; notions of reference frames and of the unity of consciousness; and as a bonus the specific experimental
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. Require skills The candidate should have strong expertise in cybersecurity and/or machine learning/deep learning, particularly in representation learning. Proficiency in Python programming is expected
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@upm.es Requirements Research FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Nivel demostrable de programación en Python, Pythorch, Ontologias, Federated Learning
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such as R or Python Manage the full biomarker panning workflow, including strategic planning, operation oversight, biomolecular sample characterisation using UHPLC glycan analysis, mass spectrometry and
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omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff. For consideration, applicants need to submit a cover letter