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background in at least one of the following: Photonics/Electromagnetics theory, design and simulations Nanoscience Visual neuroscience or opthalmology Programming skills (Python, MATLAB, or similar) Strong
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Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics design
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environments, such as MATLAB, Python or similar tools, will support your work in the project. Knowledge of Power-to-X, electrolysis, renewable fuels, process integration or energy storage will be advantageous
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Python or R • Statistical modelling Applicants without prior AI experience are encouraged to apply, as structured AI/ML training will be provided. Dairy Cattle Welfare | Bioacoustics | Precision Livestock
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as Python, R, or MATLAB. Experience working with marine / environmental observation systems, sensor data, and / or remote sensing. Experience handling large or heterogeneous environmental datasets
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with Python-based community tooling such as the BrainGlobe Atlas API. Collaborate with cluster-hire colleagues in behavioral neuroscience, circuit imaging and mapping, and ML/AI to translate research
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in computational biology, data science, bioinformatics, or related fields. Familiarity with basic concepts of statistical analysis is required. Strong programming skills in Python, R and Linux-based
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twins is considered an asset. You have strong programming skills in Python and/or MATLAB. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP), and software
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); Experience in quantitative data analysis and visualizations with R and/or Python; Interest in working with behavioral data, such as movement trajectories, interaction logs, task performance, and eye-tracking
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biological content. Interest in cancer biology and/or haematology. Affinity for quantitative data analysis. Programming experience in Python is an advantage but not a prerequisite. You are expected to develop