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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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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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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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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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) in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related quantitative field. Further qualifications: Technical Skills: Advanced proficiency in Python and deep
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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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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
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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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transcriptomics and spatial transcriptomics Proficiency in at least one programming language, preferably R and/or Python Eagerness to explore and evaluate new analytical strategies Excellent communication skills in
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, chemical imaging, spectral analysis, or image analysis. Experience with O-PTIR, FTIR imaging, Raman mapping, chemometrics, micro- and nanoplastics, biological samples, Python, R, or MATLAB is highly