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Science Hands-on work experience in an innovative high-tech startup operating at the intersection of AI, healthcare, life sciences, data science, and software development The chance to actively contribute
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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
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Joint degree / double degree programme No Description/content Networks, computers, sensors, and actuators are increasingly integrated into cyber-physical systems; software systems that interact with
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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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with ML/DL workflows and common software libraries Your experience should be documented in research papers and Open Source code projects Self-motivated personality with a curiosity for working in a
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(GIWAXS) and others) Contribution to the scattering data analysis and support of data/metadata formats developed in the group Integration of the developed software into the computational environments and
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programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will use other programmes, such as Python, Stata, or SAS
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questions from the fields of software engineering, system analysis and modelling, adaptability, application integration, and IT security. Service-Oriented Systems Engineering represents a symbiosis of best
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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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, research and career management, networking, computing and software as well as business training for life scientists. The GGL Annual Conference functions as a platform for presenting new results of doctoral