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in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
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candidate will be an ambitious, independent researcher looking to make the next step in their career. We are looking for the following: PhD in cell biology, synthetic biology or a related field of biological
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of our study programs. There is room for the development of your own research vision and the strengthening of your didactic skills, to build a strong academic CV. Your duties and responsibilities include
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Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Application Deadline 22 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours
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processing algorithms, build a Dash-based GUI, and develop standardized analysis pipelines. The role includes community-oriented tasks such as documentation, tutorials, and user support. The work requires
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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activities, including reports, public-facing materials, workshops, and presentations. Participating in the broader research, teaching, and community activities of the eLaw Center. Key responsibilities
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. This includes experimental work with the clocks, such as debugging and data taking, designing and constructing upgrades to the machines, data analysis, literature research, article writing, and contributing
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analysis. The nature of the material requires this research to be tackled within a multidisciplinary project: sections of the ecosystem are analysed in subprojects that focus on the production and reception
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during training, the finding of interpretable substructures to the explainability of general learning behaviour of such machine learning models, etc. In this project, we want to build upon the recent