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. The postdoctoral fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus
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interest in candidates working with sensors, instrumentation, and electronic measurement systems, as well as electronic technologies for healthcare and medical applications, industrial systems, energy
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these connected directions. Research will emphasise new learning algorithms and rigorous evaluation using public datasets, simulation and, where available, robotic and edge-computing platforms. Evaluation will
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models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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vivo imaging using calcium and neuropeptide sensor Conducting behavioural tests Conducting histology (inc. IHC and RNAscope) Participation in laboratory meeting and journal club, department retreats, and
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one day a week on campus. Job description The computational biologist will be expected to: Lead the development of acoustic detection and classification algorithms for marine mammals. Evaluate algorithm
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intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible: for implementation of machine-learning algorithms for unmanned aerial vehicles; validation
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along with high-content, data-driven methods based on omics. Techniques applied will comprise advanced 4D cellular and molecular imaging, e.g. lattice lightsheet SIM, genetically encoded sensors
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theoretical and numerical methods based on optimal control to optimize sensor selectivity and sensitivity. Using this setup, different sensor targets will be explored experimentally, and the data should be