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scientific disciplines. Employees with different backgrounds conduct research in national and international research co-operations. The IGZ is based in Großbeeren near Potsdam and near Berlin and is a member
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Sciences (SLU) in Uppsala. Practical experiments will take place at the SLU Lövsta Research Farm, a SLU livestock research facility. Join us in pioneering solutions that make a real difference for animals
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processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand
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. Comparison with known analytic methods and established Markov models will be made wherever possible. Expected outcomes include a unified non-Markovian framework for time series analysis, a suite of relevant
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an early warning system of dementia, to be exploited within existing healthcare pathways to trigger early intervention. Skills acquisition The studentship will provide training in data-analytics, statistics
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contexts. Interest in multimodal experiences. Solid programming experience. Strong analytical and critical skills for categorising and interpreting visual materials. Good communication and collaboration
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neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection. Comparison with known analytic methods and
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organic chemistry experience Expertise in analytical methods such as HPLC, LC and column chromatography, LC-MS and NMR methods Experience with handing DNA/RNA synthesizer Ability to work in a team
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biology experience with laboratory-based research (e.g., cell culturing, molecular techniques, bioinformatics, flow cytometry) ability to work independently and as part of a research team strong analytical
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for the environments they manage and their level of expertise because actions may be from different types and/or at different level (technical vs. organizational for example). This requires a solution to provide