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service layer, resulting in suboptimal remediation. This project introduces a bottom-up approach to network security, integrating physical-layer perspectives into the design and optimization of future
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infrastructure. This full-time position focuses on building robust data pipelines, optimizing analytical workflows, and integrating mass spectrometry proteomics data with multi-omics platforms. You will play a
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in psychiatry and neurology, and as a tool to optimize treatments with new and established drugs. As part of our team, you will play a key role in cutting-edge medical research. Your daily work will
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collaborations. We offer a supportive work environment, promoting an optimal professional growth via an adequate balance between work effort and personal time. New employees have the opportunity to engage in truly
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optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries at industrial partners at TRL 6. Our
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on III-nitride devices and circuits for both high frequency and power applications. We will explore new concepts in III-nitride semiconductor material and device processing to optimize different important
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems
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and optimization of wind-assisted ship propulsion systems. The project integrates physical ship performance models with operational data and offers a unique opportunity to contribute to sustainable
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programming skills. Strong background in machine learning, statistics, linear algebra, and optimization. First research experience through peer-reviewed publications. In addition to the above, there is also a
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and passionate interest in algorithm design and mathematics (especially in probability and optimization), and present an outstanding academic track record. Applicants must hold or be about to receive a