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Field
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model characterisation strategies definition of the necessary equipment definition of the necessary processing algorithms Implementation/validation/drafting of scientific articles in collaboration with
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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of glioblastoma will be extended to animal experiments, in which, for example, surgical operations and imaging will be applied. The main responsibilities of the researcher will include laboratory work, data
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environment Excellent communication skills Desired: Experience and knowledge of histological laboratory techniques Experience with specialised software for image and data analysis Scientific Contributions
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The Institute of Public Health of the University of Porto (ISPUP) opens an international selection procedure for hiring a Doctoral Researcher to carry out research activities in the scientific areas Food
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tumor-on-a-chip models fabrication and set-up Experience in confocal microscopy and imaging Excellent organizational and multitasking abilities Strong time-management skills Advantageous: Knowledge in
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focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum processes
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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frameworks for distinguishing closely related quantum processes that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured
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complex systems. Development and application of theoretical tools that combine experimental data and atomistic computer simulations to provide a comprehensive picture that is difficult to achieve through