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program. Qualifications We are looking for candidates who have demonstrated excellent achievements in research and teaching in an internationally recognized scientific environment, relative to the relevant
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Programme is a scientific visitor scheme designed to provide early-career students/researchers (prior to embarking on a PhD) with a passion for technology and tool development an opportunity to gain hands
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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(2 pages) Degree certificates and grades confirming that the applicant meets the entry requirements for the Ph.D. program One scientific text in English written by the candidate (e.g., a M.Sc. thesis
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the areas of ‘Process Sensors and Systems Engineering’, ‘Material Analytics’ and ‘Computational Methods’. With our expertise in data science, modelling and systems engineering, we develop tailor-made
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a scientific format Additionally, you will conduct literature research and scale lab tests to gain valuable insights into the separation and purification processes for the product DMF What you bring
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Science principles. Through programming, consulting, and training, the working group provides flexible support for scientific work in model simulations and data analyses on social and natural science issues
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. As a trailblazer and driving force for innovative developments and scientific excellence, it helps to shape our society and our future. For over 35 years, the Fraunhofer Institute for Production
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
, physics, computational biology, bioengineering, or a related field with strong analytical or modeling focus. At least 4 years of experience in scientific research, research coordination, or academic project
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Knowledge of Matlab, and web-based technologies is of advantage Knowledge in using high-performance compute architectures Experience in implementing and optimizing scientific numeric analysis methods and