1,033 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" Fellowship positions
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- Zukunftskolleg, University of Konstanz
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- AUCKLAND UNIVERSITY OF TECHNOLOGY
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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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genetic correlations, development and evaluation of polygenic scores, and integration of genomic predictors into multivariable and machine-learning prediction models for treatment outcome. Working closely
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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
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
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and data integration. While machine learning and computational approaches may be applied where appropriate, the core emphasis of the role is on population-level data analysis, interpretation, and
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in artificial intelligence (AI) and/or machine learning. · Ability to support grant applications and ongoing research project development as well as prepare manuscripts, policy briefs, technical
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immunology. The projects focus on learning from bats with exceptional healthy longevity to develop bat-inspired new targets and strategies to fight human diseases and ageing and have multiple national and
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). The candidate will be working on developing state-of-the-art methodology in clinical prediction modeling, including novel uncertainty assessment method (Value of Information analysis), as well as Machine Learning
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characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning
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for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive