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15th February 2026 Languages English English English PhD Research Fellow in Optimized monitoring of patients with primary adrenal insufficiency (DC1) at the Faculty of Medicine, University
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FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
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Antenna Design: Developing innovative antenna systems compatible with metal detector coils, optimized for tasks such as minimum-metal landmine detection and deep object detection. Low Power, Compact
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PhD Research Fellow in Optimized monitoring of patients with primary adrenal insufficiency (DC1) at the Faculty of Medicine, University of Bergen, Norway PhD-position at the Faculty of Medicine
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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between things, developing the mathematical and computational foundations for optimal information transfer between surfaces and volumetric current distributions in complex scattering media. The research
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objectives. Duties of the position The successful candidate will be expected to complete their doctoral education and perform fundamental research, primarily within: Develop and optimize eco-friendly shell
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biotypes; within-target personalized coil positioning, using MRI-guided neuronavigation and network-based metrics to optimize stimulation for each individual; n-of-1 trial design in clinical care, embedding
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. The employment requires strong subject knowledge in optimization, mathematical modeling, and quantitative analysis. You are a problem solver who works well with complex issues, understands complicated written