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dynamics Chemistry » Homogeneous catalysis Chemistry » Computational chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 13 Mar 2026 - 23:59 (Europe/Berlin
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) are important, yet poorly understood, drivers of disease progression. As a PhD student in the Rademacher Lab, you will be deeply involved in this problem. Your research will focus on identifying novel compounds
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, career development possibilities and conference attendance. Regular social events and get-togethers round off the programme. Find further details at https://www.phd.tuebingen.mpg.de/11580/PhD-Programs
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, synthesis of ligands and mono- and dinuclear platinum(II) complexes, structural characterisation and assessment of purity of final products and intermediates using popular techniques like NMR or mass
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the creation of new probes for sensing and imaging, the advancement of optical microscopy techniques, mass spectrometry, and NMR spectroscopy. Applicants will have a PhD or equivalent degree with postdoctoral
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at https://www.slu.se/en/about-slu/work-at-slu/ Description: We are looking for a PhD to focus on separation of fat and proteins from dairy side streams and plant-based extracts. The project is a
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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: initially one year, renewable Appointment Start Date: Sept-Oct 2025 Group or Departmental Website: http://cegelskilab.stanford.edu (link is external) How to Submit Application Materials: Please email the PI
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of extension. https://bionmr.univie.ac.at/people/ Working Environment The NMR facility at the Department of Pharmaceutical Sciences includes: 700 MHz, two 500 MHz, equipped with cryoprobes and SampleJet, open
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an average of twenty members, including eight permanent researchers. The PhD student will be supervised by Lucile Anthore-Dalion, a researcher specializing in synthetic methodology. The project will build upon