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the duration of 15 minutes, will be classified on a numerical scale from 0 to 100 points, applying the following parameters and criteria evaluation: a) ACS: Attitude and critical sense; b) MTV: Candidate
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laboratory-, core- and animal facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from the department have
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to 65 points for publications in areas related to the scientific area of the tender, experience with other data analysis software and experience in data collection; - PQ = 0 for publications in areas
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offer a deeper analysis of this class of stochastic processes concerning their stochastic and statistical analysis and to propose some non-Gaussian stochastic models, based on (generalized) Hermite
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to offer a deeper analysis of this class of stochastic processes concerning their stochastic and statistical analysis and to propose some non-Gaussian stochastic models, based on (generalized) Hermite
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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identification, reduce uncertainty, and enable cost-effective risk managementIntegrate advanced coupled modeling with soft computing techniquesUse metamodeling for global sensitivity analysis Apply probabilistic
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protein sources, examining how food compounds are absorbed in the gut and their effect on human health (e.g. through the creation of specific metabolites) and untargeted metabolomics analysis to identify
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C