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Position Location: Garching, Bayern 85748, Germany [map ] Subject Areas: Condensed Matter Physics / cond-mat-th , Condensed Matter Theory , Quantum Information , Strongly Correlated Materials , Theoretical
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Your Job: The research will be part of the recent ERC Starting Grant "Atomic Scale Quantum Sensing and Information with Molecular Nanostructures on a Scanning Probe Tip" (ERC-2024-StG, QuSINT). Our
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
12 Sep 2025 Job Information Organisation/Company Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association Research Field Other Researcher Profile Recognised Researcher (R2) Established
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a range of academic backgrounds with a demonstrated background in XR. The ideal candidate will: Hold a PhD in a relevant discipline. Candidates who are close to completing their PhD are also
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microbiome members (see https://spp2474.de ). More information about ongoing research in the Faber and Vogel labs can be found at www.helmholtz-hiri.de/en/ . PhD applicants should have an equivalent of a
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computing resources for the proposed solutions the development of quantum algorithms for the efficient input and output of data sets as they occur in drug discovery leading contributions to technical reports
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 8 days ago
and microscope techniques to perform the experiments and analyse your data. You hold a PhD in neuroscience, (bio)medical sciences, biology or in a related field Strong background in neuroscience as
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application documents. Curriculum Vitae, including contact details of at least two academic references Academic transcripts (Bachelor’s and Master’s degrees, PhD certificate) Two to three representative
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. Involvement in immunology projects with single-cell transcriptomic data analysis. Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension
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Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap-specific signals from raw