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redox balance. Our studies explore how p53 integrates metabolic cues by acting as both a sensor and regulator of cellular metabolism. In parallel, we are identifying metabolic changes that promote tumor
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, or autonomous driving applications Perception and Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering
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or device prototyping Experience with quantitative measurements and data analysis Ability to work independently, keep clean documentation, and deliver to milestones Background in thermoelectrics, sensors
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or MATLAB, integrating data preprocessing, feature extraction, and classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
magnetic field sensors for outdoor use Conducting suitable climate tests to check long-term stability Design and construction of suitable downstream electronics Conducting tests in the laboratory and field
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technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring
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the project's personalized treatment algorithms. For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol [at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics
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to ecological monitoring. The successful candidates will help further develop analysis pipelines and implement next-generation sensors for automated monitoring of insects across Europe. The positions are part of
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above Strong mathematical and algorithmic background A pro-active approach to achieving research excellence Commitment, team working and a critical mind Fluent written and verbal communication skills in
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental