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Field
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Your Job: You will work in the Electrocatalytic Interface Engineering department, which is headed by Prof. Dr.-Ing. Simon Thiele. The department focuses on the fabrication, analysis and simulation
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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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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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WIAS Berlin, Weierstrass Institute for Applied Analysis and Stochastics Position ID: 2306 -PHD [#26752, 25/11] Position Title: Position Location: Berlin, Berlin 10117, Germany [map ] Appl Deadline
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lines; generation of samples for proteomics analysis Data integration and analysis, including transcriptomic, proteomic and library screen data Target validation by CRISPR-Cas9 knockouts in primary AMLs
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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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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer
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of microfluidic cultivation platforms for co-cultures Live-cell microscopy (including fluorescence, phase contrast and time-lapse) for the analysis of cell interactions. Conducting cultivation experiments with
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the diversity of aspartic proteases from the model plant Arabidopsis thaliana and deploy chemical synthesis, advanced modelling, protease biochemistry, mass spectrometry and structural analysis methods. A
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structural analysis methods. A detailed analysis of the consequences of this diversification will lead to an increased understanding of the polyphilic interactions in the active site of the proteases and would