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data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: https://www.hds-lee.de/ Your tasks in detail: Review existing literature
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- Legal admission requirements I.I - Grant Recipients: Students enrolled in a master’s degree, in the scientific area of Civil or Mechanical Engineering, Computer Engineering, Materials Engineering or
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or panel presentations) at scientific, academic or science outreach events. f) Basic computer knowledge from the user's perspective. g) Verbal expression capacity and fluency in Portuguese and English. h
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of characterization techniques for animal feed and animal products. c) Ability and experience in collecting and organizing field data and secondary information. d) Basic computer skills from a user's perspective. e
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(spoken and written), certified if not a native language; e) Basic computer knowledge from the user's perspective; f) Show professional rigor and strong ability to work in a team; g) Demonstrate resilience
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results and to make parameter estimation more efficient. The project will apply and evaluate these new methods at different sites and time periods, compare them with established approaches, and finally
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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus
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methods to understand neuroendocrinologic mechanisms underlying risk vs. resilience for psychiatric disorders. The Clinical Research Assistant will work on studies examining psychopathology during
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering
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sites and time periods. Use the newly developed tools to estimate key ecosystem and land-surface parameters, and compare the results against existing model–data fusion methods. Apply the improved