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of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
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of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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jointly run by the Max Planck Institute for Informatics (MPI-INF), the Max Planck Institute for Software Systems (MPI-SWS), the Computer Science Department at Saarland University, and the
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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge
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Degree Doctorate in Informatics (Dr-Ing or Dr rer nat) Course location Saarbrücken In cooperation with Max Planck Institute for Informatics (MPII) Max Planck Institute for Software Systems (MPI-SWS
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highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW
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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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Analytics Software Engineering for Distributed Systems Telematics Theoretical Computer Science Optimal Transport Work on a scientific topic aims to enable the student to understand complex scientific work
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hardware and software Adapt algorithms for effective performance on neuromorphic hardware Knowledge in at least one area as a plus: deep learning hardware development memory technology Strong problem-solving