47 machine-learning-phd-in-netherland Postdoctoral positions at Pennsylvania State University
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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. Experience in machine learning methods is also required. Additionally, it is critical that the individual has experience in working with epilepsy patients, data collection via the NeuraLynx iEEG system, data
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mentoring of graduate students. The required qualifications are: PhD degree in Civil Engineering, Materials Science, Chemical Engineering, or related field Extensive research experience related to concrete
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students. The required qualifications are: PhD degree in mathematics, science, engineering, or a related field by the start date. Extensive experience in one or more of the following areas: probabilistic
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%): Generating academic outputs, such as presentations, grants, and manuscripts. 4) Related tasks (10%): Other related tasks assigned by the principal investigator. Eligibility: Candidates holding a PhD degree in
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presentation at conferences and manuscript preparation Specific criteria include: Recent MD or PhD (0 - 3 years) in a relevant biological science or bioengineering discipline Strong critical thinking skills
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, Astronomy, or a closely related field is required. Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage. Additional Information Applications must be submitted
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Engineering or related field by the start date with expertise in optical diagnostics, high-speed or multiphase flows, and flow physics. Experience in laser-based velocimetry, data processing, and machine
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, fast scanning calorimetry (FSC), small- and wide-angle X-ray scattering (SAXS/WAXS), and synchrotron X-ray techniques is highly desirable. Knowledge of programming and machine learning is also strongly
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calculations Materials modeling/electronic structure calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed