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interface of developmental/stem cell biology, immunology, and computational systems analysis in a highly collaborative and multidisciplinary environment. Qualifications Required: PhD (or nearing completion
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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Deadline 7 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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dashboards. In this role you will conduct high-quality research, lead or contribute to publications and research grant applications, play an active role in the supervision of research students (PhD and Honours
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geotechnical engineering. Expertise in constitutive and numerical modelling as well as coding. Experience with Linux-based high performance computing facilities desirable. A demonstrable track record in
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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. www.tuni.fi/en The Physics Unit at the Faculty of Engineering and Natural Sciences at Tampere University is inviting applications for a postdoctoral research fellow position in computational materials physics
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must take part in the University’s/ Faculty’s/ Department’s approved PhD program and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research