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to design and conduct experiments at various scales from laboratory manipulations of animal plant-soil systems including micro and mesocosms under varying environmental conditions, to large field-scale
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and in a team. For further information, please contact Mr. Prof. Dr. Lars Heinke (lars.heinke@fu-berlin.de / 030 838 68107). Applications should be sent by e-mail, together with significant documents
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Your Job: Combine multimodal brain imaging with advanced image-processing, data science, and AI techniques to perform image alignment, segmentation, and classification to construct and validate
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EG 13, depending on the applicant’s qualifications and the precise nature of the tasks assigned to them. All information about the Collective Agreement for the Public Service (TVöD-Bund) can be found
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. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of
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compiling and analyzing (geostationary) satellite datasets with km‑scale simulation data and have the autonomy to set your own scientific emphasis. As team member for the ERC Starting Grant “MesoClou”, you
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Expertise with scientific data analysis We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity
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models and human cells Analyze, document, and present experimental data and results Actively participate in scientific discussions and team meetings Taking over project responsibility Collaborate closely
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its detailed analysis through 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
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. No. 6974 until July 13th, 2025 to eim-m-gs@uni-paderborn.de. Information regarding the processing of your personal data can be located at: https://www.uni-paderborn.de/en/zv/personaldatenschutz . We are not