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Field
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algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or equivalent) in geophysics or a closely related field such as applied mathematics
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of statistics and mathematics are required. Training experience in artificial intelligence (such as machine learning and deep learning), experience working in a high-performance computing cluster environment, and
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical
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School of Mathematics and Physics Full-time, fixed-term position for up to 2 years and 9 months with the possibility up to 3 years, depending on funding availability. Base salary will be in
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Department of Applied Mathematics Postdoctoral Fellow (Ref. 250716007) [Appointment period: three months] Duties The appointee will assist the project leader in the research project - “New
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geophysics or a closely related field such as applied mathematics or theoretical/computational physics. Master’s students may apply if they expect to complete their final examination by 01.10.2025. Employment
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highly numerate subject (e.g. engineering, mathematics, physics, chemistry, statistics, econometrics, computer science, climate science) is advantageous. For Research Fellow and Senior Research Fellow
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) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and
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Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE, etc.). Experience presenting at high
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of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with