1,031 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context
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We are looking for a researcher, whose expertise lies in machine learning or uncertainty quantification, to work with Professor Richard Wilkinson on an EPSRC-funded project entitled “Scaling Cardiac
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(3) years in a relevant field (e.g., Computer Science, Computational Linguistics, Data Science or related disciplines) Strong experience or demonstrated interest in AI, NLP, machine learning
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. Experience with data-driven modelling, machine learning, or AI applications in energy systems is an advantage. Familiarity with modelling of energy networks, district cooling systems, or integrated urban
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Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus. Recruitment is open immediately and
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conversational communication skills to effectively work with diverse groups Ability to learn new technologies, processes, and policies quickly Ability to work both independently and collaboratively in a dynamic
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the one of the relevant fields. Preferred skills: Experience in forest operations analysis, forest resource management, spatial data science, supply chain/logistics analytics, machine learning Analytical
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to machine learning, process design, mass balance, cost analysis, and life-cycle-analysis preferred Industrial experience in scaling-up design and productization preferred Good team-player, good communication
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and cultural backgrounds. During their stay, Senior Fellows are free to pursue their research project at the Zukunftskolleg without any obligation to teach or to participate in the boards or committees
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, economics, or a closely related field. Excellent knowledge of computational linguistic tools and machine learning techniques. Experience with data analysis with Python and STATA. Prior experience in