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of precursors in gram scale batches for thin film deposition of functional nanostructured materials Characterizing precursors via SC-XRD, NMR, FTIR, Thermal Analysis (TG-DTA) and other analytical methods Your
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Postdoctoral Position (f/m/d) | Spectro-Microscopy Studies of Complex Processes in Thermal Catalysis
unique synthesis methods, state-of-the-art tools for experimental characterization and advanced approaches to data analysis, atomistic details of thermal catalysis and electrochemical reactions at gas
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candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug
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for students. Requirements We require for the position the following: A Ph.D. in the field of Applied Mathematics, Computer Science, Computational Science and Engineering, or similar. Knowledge of numerics as
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Temporary Job Status Full-time Hours Per Week 38,5 Offer Starting Date 2 Feb 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within
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Germany Application Deadline 17 Dec 2025 - 15:15 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 21 Nov 2025 Is the job funded through the EU Research Framework Programme? Not
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Positions Country Germany Application Deadline 11 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU
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Deadline 7 Dec 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 2 months ago
the intertidal midge Clunio marinus (Diptera) as a model organism and apply methods ranging from molecular biology and evolutionary genomics to behavioral experiments and ecological field work. We are looking
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natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top