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the University of São Paulo's Engineering School (POLI-USP) in São Paulo city, Brazil. Requirements to fill to position: • PhD in fields related to Computing, Applied Mathematics, Physics, Statistics, Electrical
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analysis of PFAS. This task notably involves cutting-edge work on data processing. Simultaneously deploy targeted analysis quantification and non-targeted identification of PFAS in samples obtained from
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have: Expertise in processing optical remote sensing data over large areas and using machine learning models for predicting ecological metrics Strong background in remote sensing in hyperspectral imaging
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protocols. In particular technologies which can eventually be deployed either in fiber or space. Such technologies will also be evaluated for transport of quantum images. Share this opening! Use the following
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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for experimental surgery and medicine, animal facilities and also advanced scanners at our disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine
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of the physical processes driving the region’s water cycle, uncovering the causes of observed changes, and improving our predictive capabilities of future climate trends. This position focuses on applied research
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, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and have an agreed role in supporting these students in their day to day research in
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OF EDUCATION REQUIRED : Candidates must hold a PhD focused on the geochemistry of radiogenic or non-traditional isotopes, applied to the characterization of paleoenvironments or, more broadly, surface processes
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… ), paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II