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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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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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languages such as MATLAB or Python is necessary as well as excellent communication skills in English. Candidates with sufficient proficiency in Danish to teach at the Bachelor programme are preferred
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, particularly joint action studies strong programming skills in Python Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one
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closely related field, and a solid background in robotics, autonomous systems, and/or control theory. The candidate should have good programming skills in Python and/or C++, and prior experience with
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of the operational characteristics and limitations of underwater sensors (e.g. sonar, DVL, SBL, IMUs, pressure sensors) is particularly relevant. Technical computing skills: Proficiency in programming (e.g. Python and
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(highlighting relevant projects) Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale If you are mentioning previous experience with python code-based simulations
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. - Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus. - Familiarity with the basic concepts of quantum computing. - Curiosity to research
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the newest developments in 3D printing and test innovative ideas through hands-on experimentation. You have experience with digital design and control tools such as MATLAB, Python, or ROS, and possibly with
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statistics. Advanced programming skills. Advanced verbal and written communication skills (fluency in English is required). Desirable: Fluency in Python. Experience with algorithm design, machine learning and