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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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PhD degree in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and
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-driven short stack test rig for the experimental investigation of the influence of pressure on r-SOC degradation processes. You are welcome to use the freedom of the project to set your own priorities
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) methods. Experience in handling remote sensing data is a plus Very good programming skills (Python) Very good communication skills (oral and written) in English Ability to work in a highly interdisciplinary
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++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research
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relevance ▪ Software: experience working with MATLAB, C++, Python or similar ▪ Goal-oriented, independent and structured work style Our offer ▪ Current research topic in a challenging international working
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teaching in terms of lectures, laboratories and student projects with a tight connection to cutting-edge research. Description We are looking for PhD/Postdoc applicants with experience in robotics and
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++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research
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++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research
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- Proficient C++ coding skills (this is critical and will be tested) - Experience with deep learning frameworks (TensorFlow / PyTorch) - Excitement, self-motivation, and commitment to revolutionize the field