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cancer research, androgen receptor (AR) signaling, or RNA biology (mRNA splicing, polyadenylation, or antisense oligonucleotides). Experience with next-generation sequencing libraries/analysis (RNA-seq
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on the grade point average obtained during their Bachelor’s studies and, where applicable, their Master’s studies. Selection Process and Important Dates Application period: 29 June 2026 – 28 July 2026
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participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant
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of 2SLGBTQIA+ communities. If you require accommodation(s) due to disability at any point during the application and hiring process, please contact Klaudia Dudas at [email protected] . All qualified applicants
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– $6,430.00 Monthly Point of Contact Sara Beth Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Computer, Information, and
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 13 days ago
visualization and statistical analysis. Experience in handling large scientific datasets in formats such as NetCDF or HDF5. A strong understanding of atmospheric chemistry and transport processes. Strong verbal
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practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high-dimensional
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 13 days 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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for the diagnosis and prediction of lithium-ion battery ageing. About us At the department of Electrical Engineering research and education are performed in the areas of Systems and Control, Communications, Signal