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cross-disciplinary and focussed on translating technological advances in biomedical engineering towards improving outcomes for cancer patients. PhD students within the group are supported by postdocs
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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Engineering. DCSC is an internationally leading research centre where PhD candidates, postdocs and faculty members work on modeling, analysis, control and optimization of complex dynamical systems relevant
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the following criteria: Grade point average of the academic transcripts from the applicant's bachelor's or master's degree studies (or 1st and 2nd cycle): up to 5 points out of a total of 10. Curricular merits
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the production and dissemination of a film presenting the project. Supervision Prof. Radouane EL YAGOUBI – Neuroscience, CLLE Laboratory Dr Amel AISSAOUI – Signal Processing, IRIT Laboratory Contact Prof. Radouane
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mass spectrometry data, RNA sequencing, or imaging. The candidate should also have a background in working with hierarchical data and resolving ambiguous, overlapping signals. Strong programming skills
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest
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, fiber optical sensor, or a combination of both. Perform dynamic experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods. Develop signal processing
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talented, enthusiastic, and collaborative PhD candidate to investigate how phytoplankton trait diversity affects ecosystem processes. Specifically, the PhD candidate will integrate diversity of phytoplankton
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the heart. The project offers opportunities to work across multiple disciplines, including: Machine learning and artificial intelligence Biomedical signal processing Computational modelling Clinical