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water. The work is carried out by building optimization models and collecting data according to principles of open science. The analyses include sensitivity analysis, scenario building and analysis, and
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
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Do you want to contribute to groundbreaking research in the intersection of battery systems and data-driven optimization? This is an exciting opportunity for a postdoctoral position at the Division
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post-AM processing of non-weldable Ni-base superalloys and Ti-alloys using recent advances in laser processing and in-situ process control. Position is connected to the competence centre Centre for
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: Development and application of AI and machine learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental
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the environment, and how they control navigation, hunting, and communication behaviours. The candidate will collect and process the retinal and optic lobe tissue from each animal. They will then work with
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of these subjects are valued: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems
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of artificial intelligence (AI)-based spectral monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we