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image analysis principles and algorithms. Proficiency with command line prompting and at least one programming language. Familiarity with software engineering practices such as version management, build
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science or engineering field; or equivalent combination of degree and experience required. Extensive experience with image analysis principles and algorithms. Proficiency with command line prompting and at
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, computer vision and pattern recognition, atmospheric modelling, and computational spectroscopy. We focus on in-depth understanding of data and related algorithms, data analysis, and machine learning. Our
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-depth understanding of data and related algorithms, data analysis, and machine learning. Our cross-cutting theme is machine learning-enhanced computational engineering. You’ll have an excellent
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applications. Possess system analytical and algorithmic thinking Demonstrate a curious and collaborative mindset, strong research motivation, and eagerness to apply your skills to diverse computational
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, PyTorch, Keras, scikit-learn) and strong understanding of machine learning algorithms, deep learning architectures, and statistical methods Good skills in extraction of data from structured/unstructured
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experimental materials synthesis, characterisation or both, and optionally, with experience developing algorithms for accelerated discovery based on data collection from automated instruments. Practical
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(land, aerial, marine, or hybrid) Distributed decision-making, task allocation, and worksite optimization under uncertainty Energy-aware and resource-efficient collaboration strategies for fleets