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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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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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-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration
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on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. Drawing on a strong background in software engineering, data analytics, and machine
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of the proposed doctoral individual project: The doctoral candidate will carry out the individual project titled: “Optimization of Functionally Graded Osteochondral Scaffolds” Objectives: 1) analyse existing FEM
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this information will not be considered. Position #1 - experimental In this PhD study, you will evaluate and help optimize a highly diverse intercropping system. You will assess which combination of service crops
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than undesired routes. Solvent and additive effects will further be explored based on mechanistic insights. Your work thus will strengthen the detection and optimization of sustainable chemistry
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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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the University of Bergen, Norway. Supervisors: Prof. Martin Reincke , Prof. Nicole Reisch Location: Ludwig Maximilians University Hospital Munich, Germany Duration: 3 years (with possibility of extension) Start
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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