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Field
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needed to resolve foundational questions in quantum information science, and to guide near-term hardware and algorithm co-design. What You Will Do: Characterization of noise and errors (including non
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Number: 6372066 Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions Position Title & Department: Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions Posting
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. Key Responsibilities Lead AI/ML algorithm development for predicting plant water and nutrient uptake under varying environmental and growth conditions. Analyze multi-source data, including aerial and
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through ESA contracts; implementing campaigns in support of radar mission algorithm development, and defining science and engineering products and associated performance requirements; coordinating campaign
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 22 days ago
Experience in HPC computation (application and algorithm/code development) Willingness to closely collaborate with experimentalists and theoretician. Joint research approach of all ERC synergy team members
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on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging and non-imaging modalities. The candidate will contribute to the overall research goals and objectives
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at the intersection of machine learning and game theory. The RA will assist in developing and analyzing algorithmic models of strategic behavior, incentive design, and decision-making under uncertainty. Core
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analysis pipelines. Assists senior bioinformatics analysts in pipeline and algorithm development and validation. Extracts features of interest from data relating to specific biological questions. Contributes
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at the intersection of machine learning and game theory. The RA will assist in developing and analyzing algorithmic models of strategic behavior, incentive design, and decision-making under uncertainty. Core
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between these duties varies over time. During the employments three initial years, the employee is offered 30% of full time for competence development, which may be used for own research and other