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of the following topics: data collection, information extraction using large language models (LLMs), machine learning (ML), natural language processing (NLP) Expertise in software development with
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of clinical and health informatics, systems interventions, community participatory research, human-computer interaction, usability, mobile technology, bioinformatics and biomedical engineering. Indiana is home
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic
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Applicants must hold a degree corresponding to a Norwegian doctoral degree in biostatistics, statistics, machine learning, mathematics, data science, computer science or another relevant field. Doctoral
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· Introduction to Biomedical Informatics · Leadership and Innovation for Informatics · Concepts in Computer Programming · Ethics and Policy Questions: Genomics, Healthcare and Big Data
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
-based methodology, encompassing data cleaning and pre-processing, synthetic generation and database creation, culminating in the application of machine tools. Machine learning-based surrogate models will
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partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
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, cell biology, time-lapse microscopy and single cell analysis. You will work in a dynamic and highly interdisciplinary team including computer scientists, experimentalists and clinicians. You will be
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cybersecurity expertise with modern AI techniques such as machine learning, deep learning, or large language models? Then we strongly encourage you to apply. You will join an established team with 25+ members
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova