28 web-developer-university-of-liverpool uni jobs at Free University of Berlin in Germany
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system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
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project “Lignocide”, which focuses on recycled and biogenic resources, particularly lignin, for developing sustainable biomaterials targeting agricultural applications. This interdisciplinary project
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The Clementi's group in the Physics Department at Freie Universität Berlin seeks a doctoral researcher (75%) to work on the development and application of coarse-graining methodologies to study
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(Methods for Active Informed Machine Learning). This project is a close collaboration with the Hasso Plattner Institute. We are developing and improving machine learning methods by integrating domain
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The Data Integration in the Life Sciences (DILiS) research group at the Institute of Computer Science at Freie Universität Berlin is headed by Katharina Baum. We primarily investigate and develop
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acquisition of teaching experience. Requirements: Completed university degree in atmospheric sciences, physics, or mathematics (Master's degree). Desirable: Experience or willingness to develop model components
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of ant trails. Next to statistical physics, high-performance simulations are an important tool for us, for which we have developed "HAL's MD package". This comprehensive software provides large-scale
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The MODAL research campus ("Mathematical Optimisation and Data Analysis Laboratories") researches and applies modern mathematical methods and data-driven approaches to develop innovative decision
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CRC 1114 aims at methodological developments for the modelling and computational simulation of complex processes involving many (more than two) interacting scales, driven by real-life applications
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1