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sciences as well as in the rapidly growing fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data
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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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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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optimisation of analytical and numerical models for metasurfaces Documentation of the algorithms developed and results What you contribute You are enrolled in a Master's programme, e.g., computer
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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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and assess their applicability in coastal environments. The position will be based in the ZMT’s program area (PA2) Impacts of Global Change and Adaptation and will actively contribute to its objectives
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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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: 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
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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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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