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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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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
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The Fraunhofer Institute for Electronic Nano Systems ENAS is leading in the development of smart systems that combine electronic components, micro and nano sensors and actuators with communication
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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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Sterilization according to department schedule. Exposes & scans digital radiographs using digital sensor or phosphor plate. Minimum Education and Experience: Valid Radiologic Technology license issued by the NJ
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Applied Machine Learning: Knowledge of integrating machine learning models and algorithms into applications. • A knowledge of applied computer science and AI in software/app development and rapid prototype
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deployment and sensor data Engage with community partners, carbon credit organizations, and policy stakeholders Prepare technical documentation and guidelines for certification (e.g., for Puro.earth
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an asset. You are self-motivated, organized, independent and have a careful way of working. What you can expect You will gain hands-on experience in sensor development and characterization. You will be
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Responsibilities: To assist in developing multimodal algorithms that can detect early signs of depression from speech and text information. To assist in designing, developing, and acquiring voice and text corpus
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, and maintain critical storage and core service infrastructure for the large-scale data systems constantly running HPC algorithms on tens of thousands of datasets. Advanced experience working in a