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.-Prof. Dipl.-Ing. Dr. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in the process of solving
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, Bioinformatics, Chemical Engineering, Systems Biology, or a related field. Good programming skills in Python, R, or similar languages. Experience with mathematical modeling, process optimization, or AI methods is
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(clinical, biostatistics, analytical, and bioinformatics scientists) and will streamline data analysis and integration across various domains. Regular publication of scientific and methodological results is
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in the field of spatial metallomics. So our highly motivated team is looking for a prae doc with experience in (bio)analytical chemistry and the design of bioinformatics pipelines for data analysis
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Experience in genetics and cloning Experience with advanced bioinformatics tools. High ability to express yourself both orally and in writing. Computer literacy (MS-Office; Imaging Software). Basic experience
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transcriptomics approaches, and bioinformatics analyses. The announcement is made for four years, whereby the employment relationship is initially limited to 1.5 years and is automatically extended to a total of
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-relevant media are a strong plus. Very good organizational skills are highly desirable. Knowledge of parallel computing and use of GPUs are desirable. Supervision and teaching experience is an advantage
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team around Benjamin Roth and carry out tasks such as e.g. undertake research in the area of natural language processing using deep learning methods. The focus of our research is in the area of natural
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team around Benjamin Roth and carry out tasks such as e.g. undertake research in the area of natural language processing using deep learning methods. The focus of our research is in the area of natural
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should not have a research focus in food technology/processing or nutritional sciences. In teaching, the position will contribute to different study programs, inter alia the Master’s program in Food