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photoactivation to treat deep-seated tumours without photodamage to healthy tissue. Targeting moiety for receptors overexpressed in PDAC cancer will be conjugated to the photosensitisers to specifically generate
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based on cross-sectional studies, which fail to capture the dynamic nature of adherence. Recent approaches conceptualize adherence as a multidimensional and evolving process, encompassing treatment
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three years before the beginning of the contract Selection process CV, cover letter and copy of PhD degree to be sent by email mentioning reference of job offer at : drh-recrutement-recherche@unilim.fr
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The successful candidate is expected to demonstrate: solid skills in data processing, analysis, and interpretation, with particular interest in physiological signal analysis proficiency in MATLAB and/or Python
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, and a strong interest in health-related technologies. Skills, or a strong interest, in the following areas will be particularly valued: signal processing (sensor data analysis, IMU, EMG) programming
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sustainable operation and thereby addressing the issue of limited battery capacity. Missions : The main responsibility will be to implement the experimental testbed already developed at XLIM, used to validate