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biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease. Implement machine learning models to improve
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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and vibrant department – where inclusivity and collegiality is at the heart of what we do. The department has five Research Groups: · Algorithms and Complexity (ACiD) · Network
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programme Reference Number AE2026-0188 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0188
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the world. For more information about the College of Natural Sciences, please visit https://cns.utexas.edu . The university also offers an impressive benefits package. For more information, see Prospective
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algorithms; identifies and resolves a wide range of issues/software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently. The incumbent will
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, and computer dose algorithms. Knowledge of treatment planning computers, both software and hardware, linear accelerators, including MLC’s, and imaging devices. Knowledge of treatment planning
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weakness and vulnerability datasets and multidimensional vulnerability classifications. It also enables the development of new algorithms for code analysis and the use of AI models and formal methods
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, focusing on the development of algorithms for proactive decision support in non-stationary warehouse environments. This project aims to study warehouse efficiency across interdependent processes – including