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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
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phase of your life. Growth and development Our online learning environment offers a wide range of training courses, e-learnings, and educational programs—from professional specialization to personal
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neurological populations. Additional responsibilities may include mentoring BSc and MSc students and taking on limited teaching duties. Would you like to learn more about what it’s like to pursue a PhD at
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% of your time), including tutorials and supervision of Bachelor’s theses. This is what we ask of you This is an interdisciplinary project that combines machine learning and AI, probabilistic risk
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students and taking on limited teaching duties. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of