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Field
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for implementing multimodal sensors, particularly in the automotive applications. Knowledge of engineering design, human factor, control, optimization, FEA simulation and experience in sensors will be considered
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individuals with research interests in optimization, evolutionary computation, and machine learning. Initial appointments are for one year. Required Department Minimum Qualifications: Ph.D. or terminal degree
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and optimizing 3D printer hardware and firmware to meet experimental requirements, and integrating these systems into functional laboratory platforms. The successful candidate will work closely with
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the works in technical reports or papers. Knowledge of network placement optimization for various topologies, e.g., Erdos-Renyi random network, scale-free, small world, etc, will be advantageous. key
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scientific writing, towards to OR research community. • Willingness to learn new knowledge on resource allocation and data-driven optimization, particularly in the latest development. • Communication
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processing, mining, chemical or geological engineering, or a PhD in a related field with mining/mineral processing experience. Knowledge of process mineralogy, froth flotation through past research, coursework
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throughout the doctoral education. Research topic The PhD Fellow will be affiliated with the project Optimization of Energy Transfer in Shallow Geothermal Wells. The goal is to develop knowledge, models, and
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-driven, knowledge-based agentic systems for automated alert triage and investigation in SOC environments, contributing to the AutoSOC platform Build explainable AI models that integrate planning, memory
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). Familiarity with Docker/Singularity for reproducible HPC environments. Experience with CUDA-level optimization or debugging hardware-specific performance differences. Basic knowledge of protein structure
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Innovation Quadrant (IQ) analysis and resource optimization studies to address business challenges. Industry Engagement Collaborate with industry partners to co-create innovative products that enhance