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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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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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and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes and management strategies, effectively converging technologies to intelligently
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research and publications in one or more of the following areas: Item response modelling Modelling of process data (e.g., response times) for competence tests Application of machine learning methods in
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Job Advertisement 2025-06 23.07.2025 At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as
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the process. The implementation of the Future Plan, funded with a total of 660 million euros from the Federal Government and the State of Berlin, will only succeed with strong interdisciplinary national and
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development and validation with mass spectrometry analyses Planning and conducting experiments independently and in collaboration within a team Data processing and analysis, with feedback reports to groups