454 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"ISCTE-IUL" positions in Germany
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learn microinterventions, such as taking blood samples from specific vessels of mice. Experience and FELASA-B certificates are an advantage. MS Office skills; experience with image processing software is
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digitalization team of the departments »High performance materials « and »Modular production machines «, we deal with the development of the control software of production machines and data-driven optimization
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at international conferences Ability to work in a team Goal-oriented and structured approach to work Independent working style and commitment Willingness to learn and interest in interdisciplinary applied research
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, PowerPoint and statistical software are expected. Over the course of your role, you will be interacting with computational design pipelines and will be expected to acquire basic proficiency in Python. Your
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Scholarship Information / Section E. Application requirements What requirements must be met? Please check if the following criteria are fulfilled: You must teach at an institute of higher education in your home
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infrastructure and outstanding career development opportunities (e.g., heiTRACKS) Competitive salary and extensive benefits Possibility to teach in the area of your expertise (English or German) The remuneration
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scholarship Travel funding Graduate programmes Biological Clocks on Multiple Time Scales (Clocks) Subject Specific Learning and Interaction in Elementary School (INTERFACH) Just and sustainable transformation
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• numerical simulations and computer programming (e.g., Python and LabVIEW) • Developing back-of-the-envelope estimates for complex physical problems. Applications should be sent by e-mail, together
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of Medicine as well as the University of Colorado Boulder. Scientists from your group will join cross-institutional lab meetings and have the option to visit collaborators on-site to acquire new technical
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning