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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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Science, Mechanical Engineering, Materials Physics, or a closely related field A strong academic track record and a solid understanding of the mechanical behavior of materials and materials science Hands
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master's or diploma degree in computer science or mathematics already successfully completed doctorate confident demeanor and proficient use of German and English (both equivalent to at least B2) expertise
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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(MPPT). Your profile: We are looking for motivated individuals (m/f/div) with a Ph.D. degree in Electrical Engineering, Materials Science, Physics, or a related field. Candidates should have a proven
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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positions) / a PhD (Postdoc positions) in natural sciences (i.e. Chemistry, Physics, or Materials Science) preferably with a specialization in theoretical chemistry, or applied mathematics An appropriate
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural
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program that includes lectures, advanced scientific workshops, complementary skill courses and opportunities for career development a mentoring program to guide and promote young scientists Salary: Payment