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opportunity to translate your computational results to practical design, engineering and structural and functional characterisation of the novel nanoparticles for applications in biomedicine. About You You will
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motivated and skilled individual to join our Movement Disorders Division as a Research Fellow. This fellowship is designed to provide advanced training in clinical and translational research, focusing
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and dissection. The selected candidate will be expected to design experiments in an independent fashion, analyze data, develop new research methodologies, prepare research papers, and contribute
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new capabilities for the group Design and execute experiments/analyses; maintain rigorous documentation and data stewardship. Mentor and train graduate and undergraduate students; foster an inclusive
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 11 days ago
multidisciplinary team involving image processing labs (e.g., CMAP) and French hospitals (e.g., CHU Kremlin-Bicêtre, Hôpital Foch, Institut Mutualiste Montsouris, Institut Gustave Roussy). Phase 1: Design and develop
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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of the Fellowship is to develop deeper metallurgical understanding via characterization and modelling to underpin the design of alloys with smaller societal footprints. Three roles are on offer to address
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mentorship if needed Contribute to writing bids for research funding Design and conduct qualitative research (e.g. interviews, focus groups) and/or economic evaluations Analyse and interpret data using
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qualitative and quantitative data analysis skills, and experience in mixed-methods research, including survey design, qualitative interviewing, and data triangulation. Strong understanding of intervention