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in healthy states, genetically perturbed states, and during liver regeneration. On the other hand, you will develop algorithms to disentangle direct intercellular signals from those that are induced
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, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments
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in healthy states, genetically perturbed states, and during liver regeneration. On the other hand, you will develop algorithms to disentangle direct intercellular signals from those that are induced
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learning and artificial intelligence, data-driven methods in scientific computing, discrete and combinatorial algorithms, and high-performance computing and large-scale algorithms. Preferred Qualifications
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of curricular units 3 - Knowledge of algorithms and artificial intelligence models applied to the prediction of student dropout (e.g., GPT, decision trees, k-NN, neural networks) 4 - Knowledge of techniques and
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the emerging areas of artificial intelligence, information technology, and human-centered computing. San José State University’s School of Information (https://ischool.sjsu.edu/) prepares individuals
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. You have a strong ability to solve problems and formulate algorithms. You also have an interest in genetics and genomics. You are organized, proactive, and can work independently as
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for applying proteomics and genetics data collected in situ for integrative structure modeling. Critical aspects of the research include: (1) Designing and executing methods to integrate data from different
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, broadly defined, including using Physics principles and methodologies to understand and develop AI models and algorithms, and using AI to help solve problems in Physics. We particularly welcome candidates
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assistant for work on the Horizon Europe InnoThyroGen - Innovating Thyroid Health with Genomics and Predictive Algorithms through Collaborative Excellence (HORIZON-WIDERA-2023-ACCESS-07-01) project