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-gatersleben.de/en/job-offers/) by 01.07.2025. If you have questions or require more information, please contact Kerstin Schweigert (jobs(at)ipk-gatersleben.de ). Please indicate the reference number 34/05/25 in
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Kerstin Schweigert (jobs(at)ipk-gatersleben.de ). Please indicate the reference number 32/05/25 in your correspondence. Foreign qualifications must carry out an equivalence test in Germany, which is subject
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. The department of Atmospheric Chemistry (ACD) and Atmospheric Microphysics (AMP) research the chemical and physical properties of aerosol particles and their interactions with clouds. Process-based laboratory
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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include application of process-based models (e.g., CANDY, DayCent, LDNDC, Daisy) to model within-field N-fluxes (e.g., N2O-losses, NO3-leaching, N-mineralization) support model parametrization, estimate N
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) according to Article 13 and 14 GDPR on data protection processing during the application process: https://www.ipb-halle.de/en/career/data-protection-information-for-applicants/
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or require more information, please contact Kerstin Schweigert(jobs(at)ipk-gatersleben.de ). Please indicate the reference number 48/07/25 in your correspondence. Foreign qualifications must carry out
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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and quantify water mass transformation (WMT) processes in the Skagerrak, connecting the North Sea and the Baltic Sea. The Consortium members study these WMT processes by developing and applying WMT