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programming skills in Python, R or similar languages, experience working with large and complex datasets, and the ability to communicate effectively with both technical and non-technical audiences are essential
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science, or a related field. Relevant experience is welcomed in one or more of the following areas: Programming, particularly Python; laboratory automation; scientific instrumentation control; or AI/ML
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platforms such as AWS and Azure demonstrated experience with scripting and automation using Python and shell scripting experience developing and deploying software containers, workflow languages and
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filesystems such as Scale/GPFS, Lustre or WEKA. Experience with storage platforms such as NetApp ONTAP, Ceph or CephFS. Strong Linux administration and troubleshooting skills, including Python, Bash or similar
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methods is helpful but not essential. Some programming experience, for example in Python or R, is an advantage, and applicants should be willing to develop it during the PhD. How to apply Informal enquiries
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development of innovative solutions for research projects in collaboration with European research and policing partners. You should expect to use modern software development frameworks such as Vue, Python, Play
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; publications--or potential for publications--in academic journals in the field; coding proficiency, preferably in Python; excellent communication and presentation skills; self-motivation; interest in research
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strong background in programming (Python, C++, matlab, etc), robotic control and usage of machine learning techniques. Experience with Linux and ROS / ROS2 framework is strongly preferred. You are familiar
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modelling (numerical simulations, e.g. matlab or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are eager to learn and expand your knowledge! Basic knowledge of analog and
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Python. Experience working with astronomical imaging or other scientific imaging data. Demonstrated ability to develop, test, and analyze scientific software or data-processing pipelines. Experience