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for a PhD Fellowship at the the Faculty of Science and Technology, Department of Mathematics and Physics. The position is vacant from 1st of September 2024 with a start no later than 1st of February 2025
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Over the last 10 years, genome wide association studies (GWAS), exome sequencing and short-read genomic sequencing have enabled a revolution in our understanding of the genetic basis of neurodegenerative diseases, their progression and disease pathways. In this period, most of the Mendelian...
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for Knowledge-hungry Team Players … • with above-average university degrees • from the fields of business administration, economics, business informatics, industrial engineering, business mathematics, computer
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demonstrate: - A Master’s degree in physics, applied mathematics, computational biology, or a related field. - Strong analytical and computational skills. - A passionate interest in interdisciplinary research
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, physics, or applied mathematics. The degree must contain 120 credits (ECTS). An academic profile that suits the research group's needs. Good communication skills in English, oral and written. The following
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, Quantum Computing, Applied Mathematics or a related field.The degree must contain 120 credits (ECTS). An academic profile that suits the research group’s needs. Good communication skills in English, oral
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approximately 500 employees at the Department of Electrical Engineering and Computer Science, Department of Structural Engineering and Materials Science, Department of Mathematics and Physics, Department
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, Department of Mathematics and Physics, Department of Energy and Petroleum Engineering, Department of Energy Resources and the Department of Safety, Economics and Planning. The Department of Energy Resources
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, Department of Mathematics and Physics, Department of Energy and Petroleum Engineering, Department of Energy Resources and the Department of Safety, Economics and Planning. Department of Energy and Petroleum
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mathematics and experience in performing technical experiments is beneficial. Proficiency in numerical methods, programming skills (e.g., C++, Python, MATLAB), and familiarity with concepts in machine learning