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Field
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for analysis of the data you create. Your findings will be a vital part of understanding the evolution of cancer drug resistance in cell models and in patients. About you: You’re excited about our research
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Description The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research
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laboratory PDF diffractometer, including the optimization of measurement protocols and combined mass spectrometry Experiments at synchrotron radiation facilities Analysis of powder X-ray diffraction (PXRD) and
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 24 days ago
have hands-on experience in crop genomics and managing genotyping data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using
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tracking immune cells in cell culture and murine models of inflammation and cancer Conducting histological analysis for validation and correlation of imaging results Analyzing imaging data and contributing
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profile in geo, environmental, energy, and material sciences. In this environment, we are a strongly mathematically oriented research group with a focus on the analysis of various problems in geophysics (in
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analysis and determination of HIV clonality in HIV-infected cells to understand the mechanistic link between low-level protein expression and immune activation. Your Tasks: • Perform and analyze
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analysis, and infrared thermography. Industry-wise, the focus is on cooperation with companies from the automotive, aeronautic, and energy sectors. Our main location is in Garching near Munich. YOUR TASKS
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl