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- or LC-MS and LC×SFC, LC×LC or GC×GC-MS analyses) Experience with chemical analysis of bio-oils Experience with programming languages is advantageous (e.g., R, Matlab or Python) Can interact and
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(e.g. C++, Python, Matlab) OpenFOAM (beneficial, not required) Strong analytical and problem-solving skills. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and
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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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. Primary tasks: Design and implement 3D molecular simulation modules in Unity Integrate bioinformatics pipelines into the VR environment via Python bridges Profile and optimise real-time rendering and
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software (primarily SAS, SQL, R, Python, and Stata) Experience of working with Danish registry data primarily via Statistics Denmark’s project database and researcher scheme Knowledge of and practical
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proficient in ROS/ROS2, Python and/or C++/C# Knowledge and/or experience within one or more of the fields of acoustic sensing, hydrodynamics, and machine learning is a plus. You have strong communication
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experience with Rust and Python. The position is for 18 hours/week and the duration is 3 months - starting on June 1st 2025. Key Responsibilities: Conduct research on various consensus protocols with
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areas: Scientific programming using Python Data analytics and machine learning techniques Wind energy systems, operations, or related topics In addition, you should be able to work efficiently as part of
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Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab