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Field
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be used in order to optimize the different growth processes. Crystals will be oriented and shaped then characterized by optical spectroscopy, X-ray diffraction as well as by various chemical and
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generative AI, such as Foundation Models, to the sPHENIX experiment with an eye towards future use at the EIC. The successful candidate could also take a significant role in existing research activities in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
to better understand aerosol, cloud, and precipitation processes and their interaction through a constellation of instruments in low earth orbit (aos.gsfc.nasa.gov) that includes a 3-channel Raman LIDAR and a
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, optics, signal processing, data science, or a related discipline. They should have strong skills in physical modeling and/or machine learning, as well as experience in the development of scientific
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preclinical imaging - Proven expertise in quantitative imaging analysis and in signal or image processing - Strong analytical, organizational, and communication skills - Ability to work in interaction with
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of colloidal systems; optical microscopy techniques Optical microscopy Image and data processing Basic programing for experiments Image and data processing/analysis Please upload the following as attachments
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optical spectroscopic signals Establish correlations between solution-based degradation data and solid-phase results to facilitate the use of liquid phase as a proxy for solid samples. Collaborate with
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Researcher for the exercise of research activities in the scientific area of Physical Engineering, to exercise the functions of with a view to the development, characterisation and integration of fibre-optic
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problems. Major Duties/Responsibilities: Perform processing and analysis on multimodal data streams, including RF, optical, and spectral signals Develop statistically defensible algorithms to identify and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
(GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET