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enrollments and class size each semester. Monitor implementation of the MSW Program Office Distance Learning (DL) efforts to support student success and engagement in the program. Represent the Program Office
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: Microbiome; Bacteria; Microbiology; Metabolites; Nuclear Magnetic Resonance, Mass-spectrometry, Chemometrics; Multivariate statistics; Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL
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their hydrogen adsorption properties. Collaborate with partners to scale up processes to an industrial level. Characterization: Perform physicochemical characterizations (Raman, FTIR, XPS, TEM, SEM, AFM, BET, DLS
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with Institute policies, and supporting assessments of prospective AI solutions. A full job description is available here: https://www.dropbox.com/scl/fi/c7djdncwkh1s0x9uwio9r/Job-Description-IT-Support
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edge applications. Work in close collaboration with HW teams to assess new technologies and build research prototypes. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities
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physicochemical characterization (SEM, SAXS, DLS, DSC, TGA, DMA, rheology, adhesion testing, FTIR, Raman, XPS) Quantify adhesion, cohesion, rheological, thermal, mechanical properties Establish structure–property
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with tailored morphology Develop processing routes Perform advanced structural and physicochemical characterization (SEM, SAXS, DLS, DSC, TGA, DMA, rheology, adhesion testing, FTIR, Raman, XPS) Quantify
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
description is here: https://www.dropbox.com/scl/fi/3x4cgm7ewtqp3pwl783zt/Director-of-Member-Growth-and-Engagement-FInal.docx?rlkey=3h9a8bz3vtoygtoooikqmghgo&st=9axp5mwe&dl=0
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; respond to inquiries and provide high-quality customer service; and contribute to continuous improvement efforts across Career & Alumni Advising. The full job description is available, here: https
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₂ adsorption (BET, pore size distribution), FTIR spectroscopy, dynamic light scattering (DLS) for particle dispersion in suspensions, SEM/TEM. The professor will develop quantitative models linking