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Field
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22 Apr 2026 Job Information Organisation/Company Radboud University Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
, including transparency, blending, and perceptual separability. Develop and evaluate methods for perceptually grounded symbology selection, including simulation-based assessment across multiple background
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; develop the statistical analysis plan; perform statistical analyses on the associations of air pollution and heat with asthma and lung function, using standard methods (e.g. discrete-time hazard models
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have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Demonstrated experience in computational methods, particularly in deep learning and computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Dependent on Experience and/or Qualifications Proposed Start Date 07/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative
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experience of vulnerability. First, you will develop an inventory of the needs of first responders and people showing concerning behavior, and of current training methods. Second, you will develop a VR
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include: Intrinsic uncertainty estimation in MLFFs (epistemic & aleatoric uncertainty) Negative log-likelihood and calibration methods for force-field training Feature-space and orbit-based analysis
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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. The appointment is one year, with the possibility of renewal for a second year (up to two
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to AAU’s Technical Faculty for IT and Design. The Department of Computer Science has 170+ scientific staff, including the two most cited Danish computer scientists, 20 administrative staff, and 1,100
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challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non