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18.02.2025, Wissenschaftliches Personal The aim of the HerbiSens project is to identify new herbicidal compounds from natural resources. To this end, state-of-the-art analytical methods (e.g. LC-MS
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, such as participant recruitment or data collection, is not required but would be an advantage. All applicants must have strong analytical skills and a proven interest in interdisciplinary and teamwork
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Degree or equivalent Skills/Qualifications M.Sc. degree in engineering, applied mathematics, computer sciences or related fields. Excellent analytical skills, strong interest and capabilities in
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, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
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30 Jan 2025 Job Information Organisation/Company Technical University of Munich Department Engineering Risk Analysis Group Research Field Engineering » Civil engineering Engineering » Other
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. As part of the SPP, the SoilEnergySpots project is jointly led by Prof. Dr. Nicole Strittmatter (Analytical Chemistry), Prof. Dr. Mirjana Minceva (Biothermodynamics), and Dr. Steffen Schweizer (Soil
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ecology (e.g. pollination, chemical or molecular ecology). • Strong experience with statistical data analyses. • Experience in or willingness to learn analytical chemical analyses and data processing
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disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning) - a high motivation and the ability to work independently
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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
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, 2022) or to readout exact molecule concentrations from cells (Bierbuesse, Nature Communication, 2022). The project seeks to advance these concepts aiming at new analytes but also new sensor building