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University. Key Responsibilities: Conduct project related research on geophysical/geomechanical investigation, geomodelling, data analytics, and machine learning. Responsible for processing and analyzing
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, validate, and harmonize field and remote sensing imagery for ecosystem monitoring. Develop machine/deep learning-based workflows to interpret ecosystem disturbance. Synthesize model simulations and
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developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
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, machine learning, data science, drug discovery, and related fields are encouraged to apply. Strong computational backgrounds (AI/ML foundation models), proficiency in at least one programming language
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in Health Strong research record using AI in a health-related discipline. Applicants with the following training will be considered PhD in computer science, machine learning, AI or related
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to develop a biophysically interpretable machine learning model that integrates diverse biological data—including transcription factor (TF)–DNA interactions, epigenetic features, and three-dimensional
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faculty, the Postdoctoral Researcher will drive research at the intersection of health data science, multimodal AI, digital twins, computational phenotyping, and responsible AI. PhD must have been