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scenarios and European/global trade potentials Development and implementation of modeling approaches and empirical analyses Publication and presentation of research results in relevant journals and at
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, identification of biomarkers and haemostatic modifiers with multi-omics approaches, an AI-driven bleeding prediction model, and a cost-effective algorithm for bleeding evaluation. All BDUC patients registered
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) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled
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basic and multiomics data analysis, Flow cytometric analysis of immune cell populations Immunohistological staining and imaging Biochemical assays for cytokines and other inflammatory mediators Protein
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(e.g., Kalman Filter) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness
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skills and model systems used. Additional valuable information includes a list of scientific publications or submitted manuscripts, participation in seminars, workshops, and conferences (specifying any
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for Nuclear Research (NCBJ) is inviting applications for a position PhD student - scholarship (machine learning-driven modeling of metallic glasses) Location: Otwock - Świerk - in the outskirts of Warsaw with
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our current PhD candidates, over 70% are foreign and over 40% are female. What you will do You will execute a vigorous research program, under the supervision of one or more faculty members. Positions
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motivated PhD candidate to investigate the interactions between wind and waves. Understanding energy and scalar fluxes across the air-sea interface is crucial for a number of environmental challenges
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years, artificial intelligence (AI) has become increasingly intertwined with our daily lives. However, AI such as that currently supported by most major players in the industry like GAFAM is decentralized