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correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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and applied statistics, including use of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological
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analysing large health datasets, electronic health records, UK Biobank, All-of-Us, or similar sources. Experience with programming in R, Python, C++, Stata, SAS, or other programming languages. Excellent
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, the candidate should have solid programming skills (e.g. Python, Julia) and an excellent command of English. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
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/leveraging large public databases (knowledge of working with public APIs) are advantages although not a must. Proficiency in Python and/or R in scientific computing and reproducible data analysis is a must
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data collection for assembly tasks. Defining robot experiments in simulation and on the real systems. Robot programming in python. We are interested in candidates that can cover both areas as
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. Skills: Experience in developing novel algorithms. Experience in coding in C/C++ and preferably python. Experience in frontend engineering, including but not limited to the React framework, Javascript/HTML
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., CNNs, UNets, Transformers) Demonstrated experience working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and hands-on experience with deep learning
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-ray diffraction, and X-ray photoelectron spectroscopy would also helpful for this position. Basic programming skills (in Python) is another skill desired for this position. We offer DTU is a leading