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Field
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related to software development and research. Understanding of fundamental data structures and algorithms for designing and implementing efficient software and models. Familiarity with cloud platforms and
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implementation of new sensors CAD design of special components Design of control loops and electrical design Operation of experimental setups Evaluation of measurement data and derivation of physical relationships
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Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and
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on her project, Development and Validation of Applanation Tonography, with development of an algorithm to assist in the validation of measurements. This will afford a mentoring/mentee opportunity to a Duke
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is seeking to hire a part-time (20-30 hours) research technician to support the development of an software algorithm for the project, “Measuring Ocular Pulse Amplitude with Fixed Force Applanation
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in Quantum Mathematics with emphasis on pure mathematics with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. The targeted starting date
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Quantum Mathematics with emphasis on pure mathematics with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. The targeted starting date
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, reptiles, amphibians, insects. Demonstrated experience using machine learning algorithms and Bayesian statistics within the R-language. Equipment Utilized Advanced computing systems. Physical Demands and
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algorithms Applicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment. The position will require effective management of their own time with the ability
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1