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is interested in studying how advancements in multimodal learning can lead to improved monitoring of older persons and patients with chronic diseases. The candidate will be responsible for research and
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fields are used to modify the morphology of thermoelectric nanocomposites. A theoretical framework based on dielectrophoresis will be developed to understand the E-field induced alignment process and
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stability, and hinder their large-scale device application. In this PhD, the focus is to rationally develop and process highly crystalline, X-ray sensitive lead-free perovskite materials through micromanaging
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-component diffusion measurements. When multicomponent diffusion measurements are required, as is the case for any industrial process optimization (e.g., in determining the fastest adsorption bed cycle time
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, including pregnancy, cancer and other conditions. In the ONCNGS project we are developing innovative approaches for (epi)genome-wide cfDNA analysis that can lead to novel applications to monitor cancer. In
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pregnancy, cancer and other conditions. In the ONCNGS project we are developing innovative approaches for (epi)genome-wide cfDNA analysis that can lead to novel applications to monitor cancer. In this project
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science. Excellent programming skills in Python Proficient English, both oral and written. Enthusiasm about research and medical applications of AI. Aptitude to work independently, lead project
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lead to more confidence on the part quality. Other non-destructive testing techniques exist that can directly measure the presence of porosities, rather than having to rely on indirect correlations
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Excellent guidance by a dynamic multidisciplinary team Support to submit and lead research proposals High level scientific training in a top-ranked university A 3-year position, with an initial contract of 1
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, neuromorphic computing, extended reality, and human-computer interaction. You engage in targeted scientific research, resulting in PhD’s and publications that meet international standards and lead to broad