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10.01.2022, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d) for performing fundamental research in the frame of the project DrawOn funded by the Bavarian...
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Risk Analysis Group at TUM and Prof. Maria Pina Limongelli at Politecnico di Milano, offering an excellent international research environment. About us The Engineering Risk Analysis Group at TUM
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RNA sequencing workflows and basic bioinformatics • Experience with Python and R for transcriptomic data analysis We offer The position (TV-L13 (65%) salary according to German public sector regulations
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levels, - policy design and impact analysis, - resource allocation, growth and welfare evaluation, - technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and
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, - digitalisation, AI and smart technologies in the livestock sectors, - climate change and policy, - agricultural, food and environmental policy impact analysis, and/or - production efficiency and
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low-molecular compounds, e.g. interactions between plant proteins and starch, are to be elucidated by combining methods of modern, instrumental natural product analysis with biophysical techniques
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periods, helping to troubleshoot on-the-ground challenges, conducting statistical data analysis and visualizing results, writing and submitting research papers, presenting your research at academic
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supramolecular interactions translate into macroscopic properties. To this end, you will use a broad range of characterization techniques, including spectroscopy, size-exclusion chromatography, thermal analysis
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, genetics, multi-omics data analysis, and/or genome annotations (R or Python skills desirable) • Prior experience in engineering Aspergillus spp. is a plus • Strong motivation for interdisciplinary research
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Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly