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interdisciplinary training in theoretical language models, clinical approaches, AI methods (e.g., NLP), and neuroimaging, with opportunities to participate in network-wide events and international training activities
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vacuum, chemistry labs and scanning probe microscopies. Fluent in English, good writing and interpersonal skills. Molecular modelling software and programming knowledge for data acquisition and data
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Maus* et al, Immunity, 2017). 3. Metabolic senescence of cells (Maus et al., Cell Metabolism, 2017) contribute to cancer. The lab works with mouse models, in vitro models, and with human specimen
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data analysis is required, particularly in the handling and interpretation of data arising from physical experiments or computational models relevant to nanoscience. Teamwork; Critical thinking and
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for automatic species identification, the use of various modelling approaches (such as generalised linear models or mixed models), spatial analysis of the movement of animal species tracked by GPS, analysis
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, AN/sucrose and KNO₃/HTPB. The resulting datasets will be used to calibrate and validate multiscale, multiphysics constitutive models, linking microstructure to ignition sensitivity, detonation dynamics, and
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. The visionary SONOCRAFT holds potential to transform tissue engineering, regenerative medicine, drug screening, and disease modelling with its technological breakthroughs overcoming current limitations in
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. Analyze the isotopic pathway from precipitation to tree-ring formation. Calibrate process-based models to achieve more reliable climate reconstructions. Doctoral research tasks will include: Bi-weekly
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management in hydrogen fuel cell- and electric battery-powered vehicles. Developing a functional software prototype simulating the physical behaviour of the energy management system. Implementing an IoT-AI
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chosen for an interview with the Selection Committee, should bring or send –for the interview- a certified copy of the degree and/or master, as well as the academic record showing the marks of all subjects