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datasets to identify and characterize microbial and plant-derived biosynthetic pathways, predict their ecological functions, and reconstruct the (co-)evolutionary dynamics of traits such as microbiome
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Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
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germanium, and executed quantum algorithms on a four-qubit quantum processor. As a Postdoc researcher, you will explore opportunities with semiconductor quantum technology and aim to push the boundaries in
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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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worldwide. Your work will include: Apply existing machine learning algorithms for automated detection of CO plumes in satellite observations Building a global catalogue of CO emission events from 2018 onwards
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and educational outcomes. Responsible AI and fairness auditing. Conduct algorithmic fairness validation of the CLARA system, develop documentation on data governance and GDPR compliance, and contribute
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, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You will also initiate adaptable, IMU-based stimulation control
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system for stroke rehabilitation, test and optimize it with patients, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You
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, and construction-task constraints, supporting real-time 3D visualization, human monitoring, algorithm testing, and pre-assembly validation. The platform will serve both as a research environment for
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sensitivity analyses across pathology severity, body morphology, camera viewpoint, and environmental conditions Develop a single-camera, home-based markerless system Test the algorithm across lab and home