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) * Flexible spending account options for medical and childcare expenses * Robust free training access through LinkedIn Learning plus professional conference opportunities * Tuition assistance * Expansive
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of the hallucination detection system under diverse visual and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under
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, reduce waste and cost Prioritize automation of inventory control tasks to the greatest extent possible, reducing errors and maximizing efficiency. Take initiative to improve processes and act
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 2 months ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and
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Engineering (IMSE) at The University of Texas at El Paso (UTEP) https://www.utep.edu/engineering/imse/ is a dynamic department within the College of Engineering. The department offers one undergraduate degree
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. The result is a challenging and inspiring setting in which socially relevant issues are addressed. Where to apply Website https://www.academictransfer.com/en/jobs/356811/phd-on-highly-robust-high-power
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-resistant pathogens. In this position as a postdoc you will develop innovative microfluidic habitats that generate precisely controlled oxygen and nutrient dynamics for high-throughput microbial invasion
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basis for a new, compact, and robust system using a polarization-sensitive camera along with polarizers and waveplates to modulate the polarization of incident light. Polarimetric measurements
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in a GLP/GCP environment and/or in a Quality Control or Quality Assurance setting is also preferred. Must be detail-oriented and well organized with strong communication skills and the ability to work
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. This PhD will design methods that enable robots to achieve more robust, accurate perception and perception-driven planning for complex processes. You will investigate solutions like multi-sensing fusion (e.g