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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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, 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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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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research questions from several fields such as software and domain engineering, system modelling and analysis, application adaptability and integration, human computer interaction, security, and
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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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(compulsory) Lecture series Expert courses Summer schools Soft skills courses Training in scientific programming and statistic software Project management, computer literacy Presentation, communication Writing
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: self-organisation, research environment, intercultural awareness, communication skills, research and career management, networking, computing and software as well as business training for life scientists
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new standards in computational metabolomics – facilitating biomarker discovery, advancing personalized health monitoring, and improving clinical decision-making. The work will be carried out under close
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in the language agreed upon with his or her supervisor. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline The deadline for applications is 1
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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