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Field
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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Deadline 18 Dec 2026 - 00:00 (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 funded by a EU programme
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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) Exchange and close collaboration with partners from physics, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in physics, computer science, mathematics
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Gottingen, Niedersachsen | Germany | 27 days ago
Researcher (R3) Country Germany Application Deadline 19 Dec 2025 - 12:37 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Germany Application Deadline 7 Dec 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Feb 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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intelligence modelling methods and deep learning techniques can also be used in both areas. Your qualifications: Master's degree/diploma/doctorate in computer science, mathematics, physics, engineering, or a
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interoperability with Medical Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement
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Centre DKFZ, led by Moritz Gerstung, we have recently established a systematic spatial transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour