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(preferably in Python, including deep learning frameworks such as PyTorch); affinity with medical image analysis and computational modeling; experience with neural networks for image analysis, generative
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learning environment offers a wide range of training courses, e-learnings, and educational programs—from professional specialization to personal development. This allows you to keep growing and make the most
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have affinity with data collection tools? Within the project ReGeNL, we are looking for a junior researcher to support the monitoring and learning activities within ReGENL. There is steadily growing
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project topics can be found at https://indibrain.eu/recruitment . OPEN POSITION: Project 5: Modeling Individual Brain Differences using Deep Learning & Vision Neuroscience: This project sits
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analyses with an interest in epigenetics and adaptation in wild plant species. You are resilient, eager to learn, and enjoy finding creative solutions in a dynamic interdisciplinary and international
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thinking deeply about the results and modelling them. Applicants are not expected to bring expertise in all listed areas; the required methods will be learned during the project. This is a collaborative
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chemistry and study the physicochemical properties of peptides loaded into the materials. Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands
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of at least one other language required for archival research and analysis related to your chosen historical case. Willingness to acquire skills in additional languages relevant to the project will be
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interactions between individual cells. Where to apply Website https://www.academictransfer.com/en/jobs/362788/post-doc-learning-interactions-… Requirements Specific Requirements PhD Degree in Physics Preferably
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designed for the 13 Research Fellows within the BIO-MICRO consortium. The BIO-MICRO training programme offers a blended learning approach that combines monthly interactive live online sessions (60–90 minutes