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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
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with other research groups for chip applications, e.g. in physics, life sciences, materials sciences, medicine, and machine learning. Chip Design is also a focus of the Master′s program in Computer
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programme and in the country-specific special programmes of the Philipp Schwartz Initiative (unless otherwise specified). All documents are currently available only in German. English versions will be
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mechanisms such as language and memory. We employ an interdisciplinary approach combining elements of cognitive psychology (e.g., behavioral measurements), neuroscience (especially neuroimaging: fMRI / EEG
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space: methods of digital humanities, digital hermeneutics, geographic information science, geocultural computing, geodata analysis, spatial humanities, environmental humanities, geographic discourse
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should bring a particular interest in digital design and manufacturing technology and systems design. Ideally, you have skills in CAD modelling, geometry processing, and programming, as well as prior
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to optimize for Quality of Service (QoS) What you bring to the table You are a student in Communications/Electrical Engineering, Computer Science, or similar fields at a German university Good understanding
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by the Tenure Track Program of the German federal and state governments. This call for applications is therefore particularly targeted at early career researchers. For further information about the
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-based environments (e.g. Kubernetes) What you bring to the table You are currently enrolled in a degree program with a focus on computer science for at least three semesters You have advanced programming
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. The professorship will be involved in the following study programs: Bachelor and Master of Education Sciences and Psychology, and training of students in teaching-degree programs (Lehramt). In addition, the chosen