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analysis with practically motivated case studies, offering a strong foundation for researchers interested in advancing the mathematical understanding of geometric deep learning. Your Qualifications PhD
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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the level of post-doctoral researcher with two-year term. The Position will remain open until filled. Fresh PhD graduates are encouraged to apply. The candidate is expected to: Carry out novel research and
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into practical solutions in close collaboration with our interdisciplinary team and external academic and industry partners. Responsibilities also include supporting master's and PhD students, publishing in peer
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is filled. MAJOR RESPONSIBILITIES: Conduct research at University of Delaware in the Perilla Group Lab Research regarding the molecular architecture of the HIV virus PhD in Chemistry, Physics
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qualities You hold either PhD in deep learning techniques and an interest in climate science, or a PhD in Meteorology or Climate Science having clear experience with deep learning techniques. You possess
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Qualifications: A PHD IN BIOLOGY, ECOLOGY, ENVIRONMENTAL TOXICOLOGY, EARTH SCIENCES, GEOCHEMISTRY, HYDROLOGY, DATA SCIENCE, APPLIED MATHEMATICS, OR A RELATED FIELD. EXPERIENCE REQUIREMENTS: - PRIOR
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instruction or plan/ deliver seminars relating to the research area. The successful candidate will have or be about to receive a PhD in mathematics, engineering or a closely related area, and have experience in
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(typically once a year). What we expect from you - requirements You have completed a PhD in mathematics with very good success (or will have completed the degree until the starting date of the position) You