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available in Python packages. This second doctoral student will focus on dynamic aspects when, due to external forces, the network of conduits changes topology as a result of competition between the system's
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in data science and machine learning, encompassing the application of statistical methods, the creation of predictive models, and the development of machine learning algorithms. Proficiency in Python
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data analytics concepts, including data cleaning, analysis, and visualization. Guide learners in the use of industry-standard tools such as spreadsheets, SQL, Tableau, Power BI, R, or Python, as
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support our team with FEM simulation and Python programming, allowing you to broaden your research experience besides your studies. Furthermore, you will collaborate with a highly experienced research team
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spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts. LanguagesENGLISHLevelExcellent Research FieldPhysics
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master's and bachelor's degrees. Fluent English, written and spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts
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, Puppet, or Bash scripting. Web Services Development: Develop web front end (HTML, CSS, JavaScript) and backend (Java and Python) service for integration with cloud service APIs or CLI. Scripting and
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computational modeling (e.g., Abaqus, ANSYS, FEBio, COMSOL, or similar). * Programming and data analysis skills (MATLAB, Python, etc.). * Strong communication skills and ability to work in a team-oriented
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genetics, enhancing MBIS’s instructional and consultative programs. Reporting to the Director of MBIS, the Data Science Librarian will lead the development and delivery of workshops on R and Python coding
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Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record