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to communicate effectively in both spoken and written English. Merits: Research experience on natural language processing, causal inference. Research experience on medical domain. Knowledge of AI trustworthiness
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: Research experience on natural language processing, causal inference. Research experience on medical domain. Knowledge of AI trustworthiness-related topics (e.g., fairness or explainable). Knowledge on AI
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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
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: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
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experimental approach to systematically infer protein-semiconductor hierarchies materials and design de novo hierarchical architectures with atomic precision. The postdoctoral project aims to design de novo
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, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and enrich the knowledge base (i.e. learning by
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approach to systematically infer protein-semiconductor hierarchies materials and design de novo hierarchical architectures with atomic precision. The postdoctoral project aims to design de novo proteins
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of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental approach to systematically infer protein-semiconductor hierarchies materials and
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fungal communities may be changing through time, and infer the functional significance of this, in terms of changes in organic matter composition, and C accumulation rates. About the position The postdoc
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in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling, quality control, data processing) Strong track record as evidenced by one