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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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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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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
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you agree to the processing of your personal data. Please use the text module in our privacy policy for this purpose. Without these declarations we cannot consider or process your application and
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us your application documents, please confirm that you have read our privacy policy and that you agree to the processing of your personal data. Please use the text module in our privacy policy
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., KonsortSWD, NFDI), including working groups and collaborative initiatives. Your profile Completed PhD (or near completion) in a relevant field such as economics, statistics, data science, informatics, or
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, geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical
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any specific questions about the position, kindly contact Prof. Dr. Marco Thines at marco.thines(at)senckenberg.de For data protection information on the processing of personal data as part of
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The INM research group Structure Formation is seeking for a motivated Doctoral Researcher interested in the self-assembly of nanoplatelets (NPLs) for optical applications. This PhD project is part
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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and