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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
(Bio-)Chemistry, Biology, or any related field. What we offer We are a young and dynamic group with a strong focus on collaboration and mutual inspiration. The laboratory has state of the art
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microbiological approaches. We seek a highly-motivated doctoral student (m/f/div) to join an international, enthusiastic, and collaborative department in an outstanding dynamic scientific environment
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the third year. The position is subject to the approval of project funding, which is still pending. Your tasks The advertised radioecology-oriented doctoral program is being carried out in a joint project
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. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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to advanced instrumentation and interdisciplinary collaborations A supportive and dynamic scientific environment Participation in symposia and conferences Opportunities for teaching and professional development
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talented researchers. The structured PhD training programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2026. We offer An outstanding
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conducted in German. Full-time / part-time full-time part-time (study alongside work) Programme duration 9 semesters or more Beginning Winter semester Additional information on beginning, duration and mode
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture