11 distributed-algorithm-"Newcastle-University"-"Newcastle-University" uni jobs in Finland
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at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
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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