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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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with quantitative methods and data management have experience with programming, for example in Python, R, or similar have an interest in AI, generative AI, learning technology, or business analytics
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data analysis; proficiency in Python or a comparable language is expected. A publication record appropriate to career stage that demonstrates the ability to conduct and communicate independent
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experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments). • Demonstrated track record of publishing scientific results in peer-reviewed
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environments. Experience with software such as R, Python, SPSS, Stata, Sawtooth, Qualtrics or similar tools will be considered an advantage. The successful candidate should have strong analytical skills, good
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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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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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: 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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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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with complex pre-clinical in vitro and in vivo models. Programming expertise in Python and R is desirable. As a person, you have good interpersonal skills, are inclusive and team-oriented and able