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We welcome applications via our website from 25 August - 07 October 2025.The International Max Planck Research School for Molecules of Life (IMPRS-ML) offers fully funded PhD student positions in
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, perspectives and personalities of our staff and welcome every application from qualified candidates, irrespective of age, gender, ethnic or cultural origin, religion and ideology, sexual orientation and identity
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, plenty of hands-on training opportunities, annual winter school, and workshops for transferrable skills. Application Please submit the following documents (max 3 MB) via e-mail (siowwoon.ng@fau.de) with
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interest in one (or two) research projects as part of your application: C01 – Synthesis of organic dyes and redox systems for controlled assembly in mol2Dmat heterostructures (Prof. Eigler, 2 positions
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) also metabolic diseases. The technology spawned from a European ERC CoG now received dedicated funding by a European ERC PoC grant to further chart its applicability to medical questions and explore
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of multicore fibre (MCF) technology.MATCH (Multicore Fiber - Applications and Technologies - Match) is a Marie Sklodowska-Curie doctoral network funded by the European Commission under the Horizon Europe. MATCH
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for further training and conference attendance The Technical University of Munich aims to increase the proportion of women. Applications from women are there-fore expressly welcomed. HOW TO APPLY? We look
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#de29c491dc573cbcfa7d21f197d4c790hxnVEVlvLh I +49 3641 532-1759 | career@leibniz-hki.de Applications: Leibniz-HKI is proud to be an equal-opportunity employer and promote diversity and inclusion in the workplace. It aims to increase
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participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
measures of health, well-being, and human mortality using traditional and new forms of data, with a focus on developing and low-income countries. The successful applicant will spend 18 months at LSHTM and