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                Employer- NTNU - Norwegian University of Science and Technology
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                Field
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                and interested to work within a results-oriented, interdisciplinary team, with a strong motivation to develop new methods to understand neural algorithms in the mammalian brain. Emphasis will be placed 
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                systems for discovering new concepts, experiments and ideas in physics. To accelerate this effort, we need your help! We have several fully-funded open PhD and Post-Doc positions (m/f) A list of concrete 
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                – depending on the successful candidate’s background and interests. Your tasks: Develop new exact and approximation algorithms and perform complexity analyses for optimization problems on (temporal) graphs 
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                based in the Cryptology discipline of the Department of Information Security and Communication Technology. The candidate will be analyzing and developing algorithms for privacy preserving health registry 
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                internationally. Main Responsibilities · Contribute to the installation, calibration, and validation of radio monitoring equipment. · Develop and test real-time data pipelines and deep learning algorithms for Solar 
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                developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize 
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                their repertoire. If they encounter text written in a language they have not seen before, they label it with what their algorithm deems the closest match. The results of such behavior can vary from the indicated 
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                trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By 
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                Join TU Delft and work together with NXP to build low-power AI accelerators for self-healing analog/RF calibration, fixing noise/offset. Co-design algorithms & hardware and validate on real silicon 
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                for Pollinator Monitoring: Train and optimise deep learning models for pollinator detection and classification using annotated image datasets. Post-processing object tracking algorithms will be incorporated