1,101 data-"https:"-"https:"-"https:"-"https:"-"ETH-Zürich" Postdoctoral positions in United States
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology
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research across five main areas: advanced materials and manufacturing, deep underground science and engineering, critical and sustainable resources, smart and resilient cyber-infrastructure, and data science
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(GSI) systems for urban communities. This project addresses the growing need for sustainable stormwater solutions by integrating cutting-edge AI technology, real-time monitoring, and data from
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time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
orientation, gender identity or expression, disability, genetic information, veteran status, or marital status. Location: Durham Salary Grade: Faculty 01
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. required Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability
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: You will be asked to submit the names and contact information of three professional references as part of the application process. All application materials should specifically address how you as an
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, providing guidance on experimental techniques, data analysis, and project development. Contribute to grant writing, including assisting in the development of proposals and identifying funding opportunities
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at additive manufacturing, which includes materials, science, cybersecurity, data analytics, logistics, and supply chain. Established in 2019 by the Texas State Legislature with $10 million in funding and