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around 15 are PhD students. The work environment is open and welcoming, striving to provide each employee with the opportunity to develop personally and professionally. The field of solid mechanics relates
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adapted to human expectations. As a postdoc within the XPECT project, you will be expected to conduct high-quality research (80%), provide support supervising PhD-students and be a part of the research team
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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(PhD students, post-docs, researchers and teachers) and is located at the BMC-building (Biomedical Center). The expertise includes computational and experimental mechanics of biological tissues, where a
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journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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taken into consideration. A suitable candidate will have a PhD in sociology, computer science, economics, statistics, political science or a corresponding subject of relevance to computational social
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- A CV including a list of publications - Proof of completed PhD - Contact details of two references Applications must be received by: 2025-08-23 Information for International Applicants Choosing a
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, collect and analyze relevant data. Qualifications For this position, applicants must have a PhD in sociology or another discipline that is deemed relevant in relation to the research being conducted within
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/assignment relevant to the subject area. Candidates who have worked in the lab of the main PI or Co-PI during their PhD and postdoc are not eligible. Step 1: Application The application should include: A