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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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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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(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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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
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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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experience in the area; Computer knowledge from a user perspective; Ability of verbal expression and fluency in Portuguese and English Professional rigor and good teamwork ability; Driving licence; Immediate
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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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structures and diagnostic targets. 3. Explainable AI Implementation Integrate XAI methods (e.g., Grad-CAM, Guided Backprop, SHAP) into the system. Generate and interpret visual explanations for model outputs
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Position Details Position Information Job Title IB Research Assistant Appointment Type Student Employee Job Location Corvallis Position Appointment Percent 100 Appointment Basis 12 Pay Method Hourly