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to accelerate the spread of antimicrobial resistance (AMR). Combating AMR has become a major public health priority. The goal of this project is to develop innovative and sustainable hybrid organic-inorganic
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cancer most commonly affects children, adolescents, and young adults. Approximately 15–20% of osteosarcoma patients present with pulmonary metastases at diagnosis, and 40% of patients will develop
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applications and/or formulation, or the desire to train in them. This profile corresponds in particular to M2 students of masters in organic chemistry, with experience in medicinal chemistry or to pharmacists
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. To provide proof of concept, we will develop a mini human bone marrow in vitro, then validate this model as a clinical platform for predicting treatment response, and finally identify new resistance mechanisms
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. These selective encapsulation properties make them particularly promising materials for a variety of applications. To develop emulsions with enhanced stability and exploit their full potential, it is crucial
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rates, and cosmogenic events, for which we expect fewer than one event per day in the neutrino sample. For these analysis the PhD student will develop machine learning-based tools to improve
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the characterisation of its different components and their calibration, and on the software side to prepare the reduction and analysis algorithms for the scientific cases targeted by CTA. The proposed thesis will cover
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interdisciplinary project, which combines bioinformatics, AI and cancer biology, we hope to develop innovative therapies targeting the highly invasive nature of DIPG cells, capable of crossing the blood-brain barrier