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of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine learning (particularly sound event detection), open
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
statistical modelling Strong programming skills in one of the main languages (e.g., R or Python) Proficient in English It will be considered an advantage if the candidate has experience with one or more of the
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one language used for computational modelling and data analysis, such as Python, R, Julia, MATLAB, NetLogo, or C++. Preferably, you have demonstrated experience with data-driven computational modelling
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while
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methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C++ • Experience
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science, cybersecurity, software engineering, or related fields Strong programming skills (e.g., Python) Strong motivation to contribute to cutting-edge research in AI and security. Excellent written and verbal
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degree in information Engineering, computer science, cybersecurity, software engineering, or related fields Strong programming skills (e.g., Python) Strong motivation to contribute to cutting-edge research
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: Good programming skills in C++ or Python Working knowledge of ROS Publication experience Who we are The Artificial Intelligence in Robotics (AiR) group, led by Dr Andriy Sarabakha, focuses
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., PTRwid or PTRViewer, or similar software), as well as experience in programming, command-line environments, and statistical analysis (e.g., R, Python, or related tools). Experience with metagenomics (e.g
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other omics data. Programming experience in R and/or Python, as well as familiarity with Unix/Linux-based computational environments and reproducible research workflows. Interest in integrating genetic