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                -edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training 
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                (m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is 
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                interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline 
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                computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput 
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                diagnose and treat human infections. HIRI is a site of the Braunschweig Helmholtz Centre for Infection Research (HZI) in cooperation with the Julius-Maximilians-Universität Würzburg (JMU) and is located 
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                the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography 
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                of suitable process parameters for PBF techniques, and the comprehensive analysis and testing of the fabricated materials. Key responsibilities include: scientific work on the project topics, including support 
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                diagnose and treat human infections. HIRI is a site of the Braunschweig Helmholtz Centre for Infection Research (HZI) in cooperation with the Julius-Maximilians-Universität Würzburg (JMU) and is located 
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                , computational biology) and is fascinated by biological processes. Alternatively, a candidate should have a MSc degree in biology, and experience in computational approaches and coding. Strong mathematical and 
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                Engineering, Information Systems, Mathematics, or a related field. Strong knowledge of software engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills