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Field
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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advanced statistical/chemometrics and machine learning tools, iv) to couple metabolome data with other omics datasets (e.g., genomics, lipidomics, metallomics, and others). Main target areas are drug
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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? You are studying Mechanical Engineering in the field of Aviation or Shipping. Do you have knowledge of design and machine elements? Are you proficient in CAD and maybe even have first experiences in FEA
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transfer of theoretical concepts into real-world applications You have gained practical experience in production engineering A high level of motivation, willingness to learn, and analytical thinking A high
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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. Profound knowledge of at least one programming language, preferably Python. Previous experience in machine learning and deep learning. Practical experience with frameworks such as Keras or PyTorch Good
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data science, computer science, physics or a related field. Profound knowledge of at least one programming language, preferably Python. Previous experience in machine learning and deep learning
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profile is shaped in particular by five high-profile areas. About Minds, Media, Machines Minds, Media, Machines (MMM) is one of the five interdisciplinary, high-profile areas that largely define
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science. A wide range of quantum theoretical methods shall be employed. A solid background in quantum mechanics and programming skills are prerequisite for this position, as is the readiness to learn and to