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to the position. Proficiency in additional programming languages (e.g., Python, MATLAB, or Java). Experience applying statistical and computational methods in biomedical research. Experience in project reporting
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environmental impacts (e.g., greenhouse gas emissions and impacts to air and water quality). Interest in spatially explicit environmental impact assessments at regional and local scales. Proficiency in R, Python
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Reality and/or physiological sensing Programming skills for research prototypes and data-driven systems (e.g., Python, Unity, web technologies, or similar) Experience with user studies and experimental
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learning; software development Preferred Qualifications: Excellent academic writing ability on quantitative topics Familiarity with relevant software environments (e.g., R, Python, SPSS) Expertise in
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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. Experimental experience of laser frequency stabilisation techniques. 15. Experience with ultracold atom experiments. 16. Knowledge of electronics. 17. Knowledge of Labview and/or Python software.
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at seminars and conferences, and student awards/prizes in statistics (for instance) familiarity with statistical software, preferably with R and/or Python demonstrated ability to work independently and as part
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Qualifications: A Ph.D. degree in electrical engineering, or related discipline completed within the last five years. Expertise in power systems and power electronics. Experience in C/C++, Matlab, and Python
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expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A