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for this grant, a requirement to be duly proven at the time of hiring. Activity Outline: Research activities in the area of Embedded Systems for the execution of Machine Learning algorithms. Legislation and
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Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis methods
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for this grant, a requirement to be duly proven at the time of hiring. Activity Outline: Research activities in the area of Embedded Systems for the execution of Machine Learning algorithms. Legislation and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
point-of-care test (POCT) composed of panels for diagnosing and monitoring liver health, using techniques for detecting protein biomarkers as well as genetic biomarkers, and also integrating simultaneous
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participative plant breeding, quantitative genetics and statistics (e.g. theoretical bases, spreadsheets and statistical programs). - Communication skills with a view to networking both nationally and
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. The studentship will be supervised or co-supervised by researchers from the Research Centre for Biodiversity and Genetic Resources - Research Network in Biodiversity and Evolutionary Biology (CIBIO-InBIO) and by
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
in vivo for the generation of genetically modified animals (10%) - Experience in cloning and production of recombinant proteins in mammalian cell systems (10%); - Experience in RNA extraction, analysis
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
is to develop a precision strategy, covering genetic, phenotypic profiling, circulating extracellular vesicles glycomics and proteomics, as well as modelling inflammation and immunological
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
of ancestry, age, gender, sexual orientation, marital status, family situation, economic situation, education, origin or social condition, genetic heritage, reduced work capacity, disability, chronic illness
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right by reason of ancestry, age, sex, sexual orientation, marital or family status, financial circumstances, educational attainment level, origin or social class, genetic inheritance, reduced ability