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Planck Institute for Terrestrial MicrobiologyCountryGermanyGeofield Contact City Marburg Website https://www.mpi-marburg.mpg.de/1492924/LeanidLaganenka Street Karl-von-Frisch-Straße 14 Postal Code 35043
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Berlin Website http://www.boernerLab.de Street Brook-Taylor-Str. 2 Postal Code 12489 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application including the usual
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coverage of both theory and empirical analysis, the PhD programme at GSEFM offers a two-year cycle of doctoral-level courses developed specifically to transmit a rigorous methodological framework in the core
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biogeochemical processes of the coastal ocean and the impact of anthropogenic influences on the natural state. It is located near Hamburg. PhD Position Reference code: 50136009_4 – 2025/KD 2 Commencement date: as
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evaluation of different glaciation histories with a focus on the mid Holocene and the Little Ice Age Numerical GIA-modelling with advanced 3D codes, evaluation and validation of results in collaboration with
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International Max Planck Research School on Elementary Particle Physics | Garching an der Alz, Bayern | Germany | about 2 months ago
Code85748StreetBoltzmannstraße Contact State/Province Bavaria City Garching Website http://www.mpp.mpg.de/imprs Street Boltzmannstraße Postal Code 85748 E-Mail imprssec@mpp.mpg.de STATUS: EXPIRED X (formerly Twitter) Facebook
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budding yeast and human cells as models. PhD Project 1: Deciphering the ubiquitin code The ubiquitin system plays a key role in determining the function and fate of proteins in virtually every biological
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SaarlandesCountryGermanyCitySaarbrückenPostal Code 66123StreetCampus C4 1Geofield Number of offers available1Company/InstituteCHARITE - Universitaetsmedizin BerlinCountryGermanyCityBerlinPostal Code10117StreetChariteplatz 1Geofield Number
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records Applying time-dependent modelling codes to the paleomagnetic data Interpreting the modelling results in terms of field characteristics Estimating the effects on cosmogenic isotope production rates