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the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable
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process in the touristic experience – “the creative turn of tourism”. Cultural tourism made not exception from this trend; moreover, the new paradigm of “cultural tourism” seems to become the result of a
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scientists, clinicians, and engineers to push the boundaries of brain imaging and contribute to insights that can improve healthcare practice. Technical PhD Candidate In this role, you will be responsible
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conditions. For instance, cameras used to monitor the behaviour of nesting birds typically require mains power or are too bulky to fit unobtrusively in nests without disturbing the occupants. Thermal imaging
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). The successful candidate will design and prototype intelligent textile/wearable systems capable of sensing, communication, and stimulation. The project will integrate wearable electronics, advanced manufacturing
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, drying, and curing affect adhesion, mechanics, and wear resistance. Characterize inks using advanced experimental techniques like synchrotron imaging (e.g. at the ESRF in Grenoble), DMA, nanoindentation
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). • Experience in data preparation, machine learning • Experience in processing 3D medical imaging. • Keen interest in cardiology and medical imaging. • Good command of the English language. • Ability
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-inflammation and psychiatric disorders (e.g. depression). The cellular processes underlying structural brain change include neurogenesis and gliogenesis, cell loss, changes in cell shape, synapse formation and
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projects. Familiar with text or image data processing, machine learning, or data visualization tools. Long-term interest in pursuing a Ph.D. in a business-related field. Compensation and Benefits Competitive
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overheating models by integrating TIR imagery with energy flux data, building physics parameters, and local weather conditions. Apply machine learning techniques for TIR and other open-source image analysis