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Langmuir probes systems at the test facilities Analysis of the obtained data Present the results in meetings, conferences and reports Active contribution to the experimental program to obtain ion source
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working with ocean or earth system models, or similar models A background in analyzing large data sets and visualizing data using Python, MATLAB, or equivalent very good writing, presentation, and
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Postdoc (f/m/d) Methods for Geochemical Exploration and Sampling Strategy / Completed PhD in the ...
mainly surficial geochemistry, e. g. soil and plant sampling, but also knowledge from drill core assets and geophysical exploration data # Analysis of the efficiency of the sampling strategy based
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ability to quantify and model these processes remains limited, contributing to uncertainties in global carbon sink estimates. You will analyze data and samples from past and upcoming expeditions to evaluate
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particle fueling and transport experiments Evaluate the experimental data and publish them Supervision of internship/bachelor/master students Your profile/Our requirements PhD in the field of experimental
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modeling, but with a strong background in physics and good programming skills. Further Information The AWI is characterized by The AWI is characterized by our scientific success - excellent research
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-of-the-art computational infrastructure and proteomic data to address fundamental biological questions. Key Responsibilities: Develop and apply computational workflows to analyze large-scale proteomic datasets
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the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
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, maintenance, and data analysis. Strong background in MS-based proteomics data analysis and familiarity with modern computational tools. Additional experience in high-throughput proteomics, low-input proteomics
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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with