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(100 % E15 TV-L). The central task of PRIDAS is developing and providing data science services, processing and analysis methods, and modern management of highly complex multimodal data. In research with
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such as Git. Expertise in at least one of the following areas: Computer vision (e.g., object detection, segmentation, classification, explainable AI) Microbiome data analysis, bioinformatics, or modeling
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expertise in bioinformatics, programming and/or database administration would be an asset Proven track record of publications and in grant writing Strong communication skills, fluency in English and German
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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Hybrid Crop Modelling Framework, integrating Process-Based Models (PBMs) with Machine Learning (ML) to enhance the accuracy and interpretability of crop yield forecasts, while evaluating key ecosystem
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offer: Room to bring and develop your own ideas Integration in a cooperative, experienced and highly motivated team Support by technical assistance and the in-house Bioinformatics, IT and Database
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atmospheric aerosol particles, their interactions with clouds and turbulence, and cloud microphysics. The focus is on both process-based studies and long-term observations, with which we contribute
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include create a N model ensemble of at least 4 process-based models (DayCent, LDNDC, Daisy, Candy) model within-field N-fluxes (e.g., N2O-losses, NO3-leaching, N-mineralization) for optimized N
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performance of minor crops and improve cultivation techniques (led by the PostDoc at ZALF); (iii) develop low-tech pre-processing technologies; (iv) capture the value of minor crop food products into new
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, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) with the usual documents, in particular CV, proof of qualification and certificates, stating