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for the verification of integrated circuits incl. heterogenous integration, PCB layout, test hardware and software Good communications skills and experience with maintaining good customer and team
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for scientific work strong programming skills and experience in software projects excellent written and spoken English skills TUD strives to employ more women in academia and research. We therefore expressly
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
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+C). You will extend the existing core-level GW+C implementation in the FHI-aims software package. Currently, this approach is limited to molecules; your task will be to adapt and expand it for
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-level GW+C implementation in the FHI-aims software package. Currently, this approach is limited to molecules; your task will be to adapt and expand it for application to 2D framework materials
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Your Job: Using state-of-the-art methods of empirical social research, you will record and analyze the perspectives of relevant stakeholder groups. In doing so, you will examine key issues relating
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AI, analysis and testing, as well as micropumps. Through the close collaboration of our experts, not only groundbreaking innovations arise, but also synergies that enable Fraunhofer EMFT to effectively
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to coating processes and thin film analytics. This is an excellent opportunity for a student pursuing a degree in Computer Science, Engineering, or a related field to gain practical experience in software
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areas: software testing, runtime monitoring or diagnostics combined with a desire to embed these in today's assurance processes. Knowledge of software development methods (especially agile methods such as
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in an area of safe machine learning and/or applications in healthcare Management of a team of PhD students, postdocs, and software developers Coordination of the implementation of research prototypes