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growing research portfolio in CS Education (including STEM education, computational thinking, and AI literacy). Funded by the UT System Regents' Research Excellence Program, this is a full-time, non-tenure
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(e.g. computer vision, deep learning, AI) and green life sciences (e.g., remote sensing, crop modelling, and food security), within the European funded project AgriscienceFM (Horizon programme), which
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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environment at the lab, and at the Kavli Institute for Systems Neuroscience.The candidate will be required to complete the coursework mandated by the PhD program in neuroscience at NTNU. Required selection
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. The deadline for applications for this Fall Call is April 20, 2026. Please submit your application to our PhD program or our MD-PhD program online. Where to apply Website https://www.fmi.ch/education-careers
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher to apply statistical and computational approaches towards
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September 04, 2025 The International Max Planck Research School for Biology and Computation (IMPRS-BAC) is a graduate program offering comprehensive education and hands-on experience in both