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Field
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approaches Experience in teaching and development of teaching programs can be of advantage Working effectively both in an independent manner and as part of a diverse, collaborative team High level of
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programs of the Faculties of Engineering Sciences and Biosciences, particularly in the Master Molecular Biotechnology and the Major Systems Biology in the Master Molecular Biosciences. Candidates
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to learn others): Programming / data analysis (e.g. Python, MATLAB) Simulation tools (e.g. COMSOL or similar) Game engines / interactive applications (e.g. Unity) Curious and proactive: Willing to learn new
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development, including several of the following areas: Experience in Linux system administration, virtualization, and cloud infrastructure. Programming in Python, Go, HTML, and/or JavaScript. Working with
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analysis in the construction domain/synthetic data creation and transformation. The group develops AI methods for 3D model creation, plan and scene analysis in the construction sector by analyzing as-built
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such as automatic speech recognition, multi user text-to-speech synthesis, speaker and language detection, etc. Programming knowledge is required. You have gained experiences with Python and the relevant
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include researching and documenting the state of the art You will plan, build, and conduct experiments Finally, you will be responsible for documenting and discussing results What you contribute You are
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on digitalization topics, including programming, research data management, AI applications, and scientific computing Applicants who meet the prerequisites will generally receive a salary according to BesGr. B 1 BBesO
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of electrical engineering, physics, microsystems technology or a similar subject knowledge in the field of (high frequency) electronics and semi-conductor components experience in programming with Python for data
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: Successfully completed scientific university degree, preferably in computer science, electrical engineering, or a comparable field of study Very good programming skills in Python (e.g., TensorFlow, PyTorch) In