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manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and manipulation, first in simulation and later on real experimental setups Refine a real-time
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clinical phenotypes. Develop and validate phenotyping algorithms. Develop and maintain computational pipelines and workflows using workflow management systems (e.g., Nextflow, Snakemake). Implement version
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signal-to noise Post-processing: denoising, reconstruction algorithms Comparison with high-field MRI: deep-learning and other AI modalities for low-field MRI optimization Close cooperation with
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Project Scientist (Time-resolved Fluorescence Spectroscopy) - Butte Lab - Department of Neurosurgery
system parameters using standard and advanced test and measurement equipment. Develops algorithms for calibration of TRFS systems in the presence of various noise sources. QualificationsEmpty heading
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AI labs on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Research and explore
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/algorithmic modelling. Experience with multidisciplinary IoT systems, including low‑power sensor networks and power‑constrained device architectures. Hands‑on experience with experimental testing in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
counter-example guided planning algorithms for mission and epistemic objectives. Integrate multi-modal agentic AI systems into an orchestration framework. Deliver software artefacts and demonstrators
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information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 3 yrs Required License/Registration/Certification Licensed Pharmacist plus Epic Certification
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sensing for traffic monitoring and incident/hazard detection (including accidents, fire, and earthquake detection); design, implementation, and validation of CV algorithms to detect unsafe driver behavior
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liquid argon. The analysis of the ProtoDUNE data will help to validate calibration techniques and particle identification algorithms. The candidate should have a good knowledge of particle physics and