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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with Machine
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with CMS will
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to provide a nationally recognized program of learning opportunities for graduate students, fostering the knowledge and skills that enable graduates to compete successfully and contribute significantly
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Programmes Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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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 Approaches to Materials Science and Engineering; Nanoscale and Functional Materials. These positions require a Ph.D. in Materials Science and Engineering or related fields, and experience in
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openings available. Internal Number: 362548 Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or
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Professor position in the area of metal Additive Manufacturing (AM). The successful candidate will develop a research program in metal AM with a particular focus on powder-based techniques such as laser
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responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and completing documentation of experimental data in a timely fashion. Assists with monitoring inventory
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify