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possible. What you will do You will be trained step by step in plant operation and actively support ongoing production processes. You will support the execution of quality controls in parallel with
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architecture, parallel processing and hardware-oriented applications and optimisations as well as operating systems. The project will be carried out in close cooperation with Audi in Ingolstadt and Neckarsulm
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of bioinformatics Comprehensive experience in library preparation (e.g. RNA-Seq, 5mC/5hmC-Seq, DNA-Seq, ATAC-Seq, CUT&RUN/CUT&Tag, 16S) Experience in automated sample preparation, as well as project management skills
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for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely with industry partners and public agencies
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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economy Logistics systems for specific sectors (e.g., retail, healthcare) You use methods from at least two of the areas of process management, mathematical optimization and/or simulation. You show
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cutting-edge spatial transcriptomics and bioinformatic/ data integration Advanced proteomics, genomics, innovative genetic (e.g. CRISPR/Cas) and screening technologies (both in vivo and vitro) Planning
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metagenomics and preferably also with SIP very good knowledge in required bioinformatics & ecological statistics (incl. R) a high personal motivation achieving goals and a high scientific curiosity we expect
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maintaining high-end Illumina and Nanopore sequencing platforms Excellent expertise in next generation sequencing workflows and solid knowledge of bioinformatics Comprehensive experience in library preparation
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. The Leibniz-LSB@TUM comprises a unique and world-leading research profile at the interface of Food Chemistry and Biology, Chemosensors and Technology, and Bioinformatics and Machine Learning. Leibniz-LSB@TUM’s