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Field
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, engineering, mathematics or a related field of study Huge interest in data science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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status under the Geneva Convention are not taken into account Demonstrate their ability to understand English and express themselves fluently in speech and writing Please feel free to apply
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journals Writing project proposals and acquiring new third-party funded projects Your Profile Completed master's degree in materials science, chemistry, physics, engineering or a related field In-depth
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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an equivalent degree in one of the sciences that are fundamental to BEAM (chemistry, physics, biochemistry, mathematics) or related fields. How to apply for it! More information on the application process and the
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Description The Chair of Applied Mathematics at the Faculty of Mathematics and Geography at the KU Eichstätt-Ingolstadt invites applications for a position as Doctoral candidate in Applied
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of Technology. At each location we bring together more than 150 staff members. In ScaDS.AI, various research topics are being worked on within the framework of a graduate school on the fundamentals and
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, the student will collaborate with researchers who apply data assimilation and machine learning methods to the developed models. Your responsibilities: Analysing a global compilation of paleomagnetic sediment