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Job Description Love Python and helping others? Join DTU’s Python Installation Support team! Help fellow students get set up, fix issues, and share tips. Flexible hours, great experience, and a
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: Utilize Python, R, SQL, and containerization (Docker, Kubernetes) to run data ingestion and processing within automated data pipelines Optimize data processing workflows, reducing manual intervention
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in bioinformatics, bioengineering, systems biology, or a related field. Minimum 5 years of postdoctoral or equivalent research experience. Advanced skills coding in Python for scripting and data
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handling non-model microorganisms such as Vibrio sp., Psuedomonas sp., Cupravidus sp. Python experience, especially as applied to programming laboratory robots You need have a MSc in a relevant field (e.g
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in C++ and Python, including experience with the scientific Python stack (NumPy, SciPy) and linear algebra/matrix libraries. Proficiency in developing efficient, maintainable code for engineering
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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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and integrating React with REST APIs Knowledge of OpenAPI standards Proficiency in Python for backend interactions and data processing Fundamental knowledge of SQL databases Familiarity with software
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some basic Danish. In addition, we are looking for people with experience or knowledge with one or more of the following topics: Proficiency in system programming languages like GO, C#, Python, Java, and
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. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written
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or optimization. Proven experience with programming and data analysis tools. Fluency in Python, including experience writing data analysis scripts and model training code. Experience with scientific computing and