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to deploy machine learning to support data analytics and complex decision-making processes. Knowledge of modern SW-tools in the area of energy and sustainability is highly beneficial. Your role and goals You
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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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Master’s degree in statistics, data science, machine learning, mathematical modeling, or similar area. Previous experience in working with Bayesian models and their computation and experience in ecological
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excellence through standard and customized omics data analysis, as well as to implement innovative machine learning, data integrative and multimodal solutions. The Center is located in the School of Medicine
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active role in advancing the research projects of the MQS group. Our recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. We also have
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with a background in Language Technology, Machine Learning, or Language Typology who are interested in automatic classification and analysis of hundreds of languages to undertake a PhD project exploring
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error correction (advantage) Background in software development (advantage) Optimization techniques and machine learning (advantage) Ability to conduct independent research Excellent written and oral
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artifacts. Experience with 3D image data analysis and 3D image visualization. Experience with machine learning or deep learning-based segmentation algorithms. Experience with statistical analysis to interpret
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intelligence in engineering Interest in multi-objective optimization and machine learning Strong background in computational engineering, engineering mathematics and / or computer aided design High
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GNSS, wireless navigation and machine learning is desirable Additional skills that are highly appreciated in this position are the willingness to work hard and to learn more about the fascinating