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Field
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genomic data using deep learning methods in order to identify degrading enzymes from different data resources Using Hidden Markov Models and similar tools as well as machine learning for the identification
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are looking for researchers with scientific interests and skills matching these aims. We particularly invite applications from candidates with experience in the study of the ISM of dwarf galaxies, ISM modeling
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comparable field of study Very good knowledge in the field of quantitative data analysis Experience in Agent-based Modeling, Stated-Preferences Methods and Quantitative Network Analysis is desirable Knowledge
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environmental boundaries preferably starting on 01.07.2024. The position is funded until March 2027. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13
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analysis techniques and physical/mathematical models to drive our development of dedicated algorithms with a focus on time-series analysis in imaging. The Chair of Biological Imaging (CBI) at the Technical
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in
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22.04.2022, Wissenschaftliches Personal The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics
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researcher (f/m/d) Your tasks: improve an existing metadata model and scheme for complex agricultural experimental and monitoring data establish data quality, plausibility services and a data-fitness-for-use
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fantastic opportunity to become part of European networks of established researchers, postdocs, and graduate students working with modelled and in situ biodiversity and environmental data. Your tasks