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Manufacturing and Process Optimization. Space and Harsh-Environment Materials Multifunctional and Bioinspired Systems. Requirements: Minimum: Ph.D. in Mechanical Engineering, Materials Science, Computer
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
on MMS data. Required Knowledge, Skills & Abilities: Computer analysis of digital data from satellite data centers. Physics background analyzing the data. Other Requirements: local residency. Preferred
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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from the TexNet earth observation program or assets that provide quality data. Compare different methods and tools for deformation modelling. Engage in outside funding activities and promote programs
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candidate will have an opportunity to work closely with an interdisciplinary team of researchers from various disciplines, such as agricultural engineering, mechanical engineering, agronomy, computer
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/concerns Data collection and management: Assist with data collection/experimental sessions, data entry, and data storage/backup Participant recruitment: Assist with recruitment efforts: create and distribute
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referral sources. Conducting outreach activities such as attending community events, presenting study information, and distributing recruitment materials. Collaborating with the research team to track
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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/Administrative Internal Number: 527353 Pay Grade/Pay Range: Minimum: $62,300 - Midpoint: $81,000 (Salaried E10) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday
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research program focused on spatial immuno-oncology, utilizing cutting-edge technologies (e.g., spatial transcriptomics, spatial proteomics, imaging mass cytometry) to study the tumor microenvironment