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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite
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at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu/people/james-j-butler-jr ) and Geoff Bohling (https
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possess strong quantitative skills (e.g. Matlab, C++, Python). The term of this appointment is one year with the possibility of renewal contingent upon satisfactory performance and continued funding
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including Python, R, MATLAB is highly desired. Salary Range: Salary Commensurate with Experience Create a Job Match for Similar Jobs About University of Nebraska Medical Center A vital enterprise in the
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | about 2 months ago
environment Excellent programming skills in languages such as Python, C/C++ and CUDA Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch Mandatory experience with High-Performance
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject
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of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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a closely related field with a focus on agricultural systems Solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support Robust experience with Python Proven