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at the Institute for Computing and Information Sciences (iCIS), part of the Faculty of Science at Radboud University . The Data Science Group comprises around 50 researchers with expertise in machine learning
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challenges. As a part of your PhD research you will regularly visit our industrial and scientific partners to learn about the challenges and constraints. You will also study the problem in detail with
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funded PhD position invites applications from candidates interested in the intersection of computational design, robotic fabrication, and environmentally performative architecture. The research will
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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—through advanced compliant mechanisms and smart material integration. Job description Soft robotics represents a transformative approach to machine design, emphasizing adaptability to unstructured
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PhD Student Brain multiregion singlecell transcriptomics of Myalgic Encephalomyelitis/CFSyndrome NIN
Fixed-term contract: 1-4 years. Depending on education and experience the minimum salary is € 3059,- and the maximum salary is € 3881,- gross per month for a full-time appointment (scale P, cao Nederlandse Universiteiten/KNAW). This is exclusive of 8% vacation allowance, 8.3% year-end bonus,...
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD in solid-state spins and their applications for quantum science. Job
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linked to exercise limitations and PEM, with the aim of improving patients' quality of life. The PhD candidate will analyze existing data from Harvard Medical School to investigate the connection between
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. Familiarity with machine learning and proficiency in Python or MATLAB. Excellent communication skills; proficiency in Dutch is desirable but not required. The capacity to thrive in a complex and dynamic
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-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science. In this PhD project, you will: Develop an experimental platform to study 3D self