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Python and LabView programming for developing new codes for data analysis is also needed. Finally, you must be able to communicate clearly, be out-reaching and service-minded as well as be creative
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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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: Frameworks such as Flask/Laravel, PHP, Python Front end frameworks like React or Vue, Gitt, Kubernetes/containerization Working with databases such as MySQL/MariaDB/PostgreSQL/MSSQL. It will be an advantage
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of computer science, natural science or another related field. We are looking for a candidate who has documented experience working with Python and SQL Configuring database servers and stand up OLAP systems. Designing
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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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. 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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documented research experience in a related field. The applicant should have experience in one or more of the areas/fields mentioned below Proficiency in programming languages such as Python or R. Experience