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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect: the ability
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14.08.2023, Wissenschaftliches Personal The Chair Group of Production and Resource Economics at the TUM School of Life Sciences Weihenstephan and the TUM School of Management offers two positions as
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and resource efficiency during production and operation. The focus of our »TCAD« team is on working with Technology Computer-Aided Design (TCAD), which is used to investigate the electrical properties
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for Mass-Spectrometry Imaging / Spatial Metabolomics (f/m/d) This position is funded by the MULTI-SPACE alliance of the Health & Life Science Alliance Heidelberg & Mannheim, supporting a joint Mass
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The Climate-Life nexus initiative at Heidelberg University brings researchers together social science and health with natural science to conduct transdisciplinary research in the intersection
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 22 days ago
, the candidate should have extensive knowledge of DDA and DIA proteomic data processing using MaxQuant or similar software packages. Your responsibilities The successful candidate will focus on developing methods
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chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing
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presentation of collected data and participation in writing scientific publications. YOUR PROFILE: Completed university degree (Master of Science or equivalent) in biology, (bio)chemistry, bioinformatics or a
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or a closely related field. (Professional) Experience Expertise in research in the field of Computational and Theoretical Chemistry. Desirable: • Very good knowledge in theoretical chemistry with
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org