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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
at the University of Münster invites applications for two fully funded PhD positions in computational modelling of biological and functional material. The two projects address complementary questions in biological
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inverse problems, as well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project will have a strong mathematical component. You will
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is submitted) PhD (or equivalent foreign degree) in Marine Biogeochemistry, Biological Oceanography, Oceanography, or a related field. A minimum of 10 years of demonstrated biological oceanography
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3 Jul 2026 Job Information Organisation/Company CNR Department IFN Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 18
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-animal interaction, disability, healthy ageing, and social inclusion. Refer to Dr Em Bould’s profile for more information. Remuneration: A PhD annual stipend for 3.5 years of full-time PhD enrolment
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recently contributed to the design, build and test of the first non-native eukaryotic chromosome, called a neoChromosome. This PhD project builds upon this work to clarify and test the design principles
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responsible for the HVT group’s laboratories, ensuring reliable and safe operation Support and guide PhD candidates and MSc students in planning and conducting experimental work Contribute to the design
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. All applications are considered impartially and without discrimination on the basis of nationality, ethnicity, skin color, gender, sexual orientation, gender identity, marital status, religion, age or
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Researcher (R1) Positions PhD Positions Application Deadline 8 Sep 2026 - 13:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job funded
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis