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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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, Electrical and Computer Engineering, or a closely related field. ● Proficiency in MATLAB or Python. ● Prior experience with Neuroimaging analysis (using FSL, AFNI, SPM, etc.) ● At least one
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Medicine
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computer graphics, or human vision and attention. The posts require research skills in the design of studies, use of methods, research prototyping and data analysis, and you should have documented experience
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, and two to three references’ names and contact information. Applications must be received by March 9th, 2026. For more information, please visit our website at liaulab.com or contact the department
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. For further information, please contact Professor, dr. scient. et techn. Bo Brummerstedt Iversen (bo@chem.au.dk). Applications including CV, full publication list, references and description of qualifications
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 5 hours ago
multi-frequency doppler radar, doppler lidar, microwave radiometers, dropsondes, and visible and near infrared spectrometers. The data sets acquired offer extensive and unique opportunities to study the
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testing and data analysis with opportunities to work in a multidisciplinary team and contribute to publications and funded research projects. Primary responsibilities: a. Perform catalyst characterization
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information For further information, please contact: Assistant Professor Emil Laust Kristoffersen, +45 29271306, emillk@inano.au.dk . Application procedure Shortlisting is used. This means that after
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials