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advanced model systems Neural circuits and systems neuroscience Full list of all 24 available projects on our website: https://oc10.meduniwien.ac.at/open-phd-positions Requirements / Skills: Master’s degree
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packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level
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domains) Experience with RF signal analysis and wireless communication systems Experience with SDR platforms (e.g., USRP) and IQ data processing Experience with MATLAB and Python Excellent written and oral
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of programming/software, e.g. MATLAB, Python, FEA software, LabView, etc. Good oral and written presentation skills in Norwegian or another Scandinavian language Personal characteristics To complete a doctoral
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computations using the Python-based Taskblaster workflow framework. CAMD offers an international and scientifically stimulating working environment at the Department of Physics, DTU, located in the northern
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with Robotics Excellent programmer in Java / C / Python / ROS or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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simulation models Programming skills (e.g. Matlab or Python) Willingness to supervise young scientists Enthusiasm and enjoyment of working independently on developing fresh ideas and solutions Good
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systems and networks is beneficial and complements your technical profile. Programming skills: You have at least scripting experience, for example in Python or comparable programming languages. Language
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systems. Experience with robotic hardware (e.g., robot arms) and proficiency in C++ and/or Python, ROS 2, and MATLAB. Solid background in control theory and/or machine learning is highly desirable
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relevant programming experience (e.g., in C++, Python, or Java) (if available) If the thesis has been recently submitted, a draft may be attached. Names and contact information of three relevant referees