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for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer
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detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in experimental high
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of proposals for external funding for research projects. (5%) Requirements • A PhD degree in physics, chemistry, synthetic, systems or molecular biology or related fields. • A track record of independence, and a
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articles and present results at scientific meetings. (30%) Assist in the development of proposals for external funding for research projects. (5%) Requirements A PhD degree in physics, chemistry, synthetic
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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for Astrophysics and Planetary Science, led by Prof. Dr. Britney Schmidt, invites applications for a Postdoctoral Fellow to join a field-based research program in northwest Greenland. The ideal candidate would have
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your cover letter, including which Shima Seiki machine you operated, how long have you worked with the machine, and for what purposes/projects, PhD degree in Computer Science, Electrical Engineering
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growers and also include monitoring Drosophila, categorizing grape cluster architecture and damage, monitoring weather variation between sites, and estimating economic costs and benefits. Research
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, how long have you worked with the machine, and for what purposes/projects, · PhD degree in Computer Science, Electrical Engineering, Information Science, Mechanical Engineering, Human-Computer
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systems, urban technology, networks science, information, decision and complex networks, computational and infrastructure intelligence, revenue and finance, complex systems architectural design framework