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of employment: 50 % of standard working time. Workplace/Department: Institute of Virology, Saarland University, Campus Homburg Job requirements and responsibilities: We are looking for a highly motivated co
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has the goal to mechanistically explore the interaction of phytonutrients in the plant-environment response in order to enhance and secure the nutritional quality of vegetables under changing climatic
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application by post to: Bundesinstitut für Risikobewertung Personalreferat Max-Dohrn-Str. 8-10 10589 Berlin Please address any questions about the area of responsibility to: Prof. Dr. Lewejohann: T +49 30 18412
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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rooting stimulation of cuttings’ focuses on analysing cutting tissue using optical coherence tomography (OCT). The focal topics of the sub-project include: Conception and realisation of an OCT system
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. The sub-project of the Phytophotonics department focuses on analysing hyperspectral imaging data for predicting infestations in field crops. The focal topics of the sub-project include: Realisation of a
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independently and in a team Desirable: Experience in conducting and analysing semi-structured interviews Knowledge of and/or experience with strengthening and stretching exercises for the prevention and treatment
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heavily on centralized, time-consuming laboratory analyses and manual adjustments. This is especially problematic for critical indicators such as Chemical Oxygen Demand (COD), a key aggregate parameter that
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phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
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architectures [5] and Neural ODEs [2], creating a cohesive end-to-end hydrological model. Transformers will be utilized to pre-process and analyse the raw input data, capturing essential spatial and temporal