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Field
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materials, Characterizing precursors via SC-XRD, NMR, FTIR, Thermal Analysis and other analytical methods. Profile: We are looking for highly motivated candidates (m/f/d) with M.Sc. degree in inorganic
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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circuit design methodologies and signal integrity analysis Deep understanding of programming languages (Python, C/C++), algorithms, and problem-solving in a dynamic tech landscape Hands-on experience in AI
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, information technology or comparable with a master's or diploma degree Good knowledge in analog circuit design methodologies and signal integrity analysis Fundamental expertise in working with Verilog AMS
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analysis, cloning, cell culture, lentiviral transductions, flow cytometry, microscopy etc.), experience in NGS data analysis, CRISPR technologies, RNA interference Experience in writing scientific reports
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based at DIGIT as well as the collection and analysis of requirements from existing partners. In addition, further partners are to be integrated into the network and new formats and pilot projects
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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Astronomy. Main projects include eROSITA, ATHENA, H.E.S.S., CTAO, eXTP, THESEUS, HERMES and GIFTS. We conduct data analysis and modelling of multi-wavelength observations of galactic compact sources
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of analysis and visualization software Very good written and spoken English skills are required Furthermore, experience in dealing with the ICON model and the scientific utilization of ICON data is an advantage
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of FPGA designs, including timing analysis, code coverage and coding rule checks Support FPGA integration on target hardware Create design documentation in compliance with internal and external normative