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master's degree in agricultural or environmental economics, applied mathematics, or a related field Good background in bio-economic modelling, CGE modelling, and optimization techniques Experience with
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Degree Doctor of natural sciences (Dr rer nat) Doctoral degree or degree awarded by University of Bonn Course location Bonn In cooperation with Bonn International Graduate School of Mathematics
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journals Your Profile: Master’s degree in soil chemistry, bioengineering, biochemistry, bioinformatics, or applied mathematics Hands-on experience in using differential calculus Solid knowledge in soil
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of interfaces for the automated integration of research data into efficient open-source energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
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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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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world´s largest research projects, is being built in international cooperation. GSI and FAIR offer
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Dr. Lukas Lüchtrath (WIAS). It includes the possibility to pursue a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong