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Field
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long-term goal of our group is to develop a self-consistent model of FGFs and other lightning-generated high-energy radiation, then using radio and optical predictions from this model to compare against
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acousto-structural transmission paths, developing predictive models, and producing research outputs that support practical noise mitigation solutions for the built environment industry. Key Responsibilities
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include the development of predictive models for disease resistance, genome-wide association studies to uncover resistance loci, automated phenotyping approaches using image data, and integrative multi
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other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
enhancer activity and in the transcription levels of their respective target genes, particularly in endocrine pancreas. These models will help us to predict if a given NucAlt in enhancers might be important
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experts and researchers that will be focused on developing heat health prediction and thermo-physiological models. The main areas of responsibilities of the role will include: Working closely with research
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 4 days ago
submit in the application process a Declaration of Honor regarding the benefited Research Fellowships, issued as defined in the model attached to the present public notice, in order to assess whether
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Portuguese version A call is open for the award of one Research Fellowship within the scope of the project “PROSPER: Predictive models for sustainable protein recovery”, funded by FEDER and by National Funds
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations