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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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; Qualifications: Minimum Qualifications : • Ph.D. in Plant Breeding, Quantitative Genetics, Statistics, Computer Science, or related field. • Proficiency Python or R. Preferred Qualifications: • Experience with
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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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and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your ideas with AND without LLMs. You get excited about implementing your ideas. You are a team-player: you
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ageing studies and diagnostic measurements. Familiarity with machine learning and data analysis. Strong programming skills, for example in Python and/or MATLAB, and a strong publication record. What you
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data analysis software (10%), Proven programming skills: Matlab, Unix, Python (30%), Relevant publications in the project area (10%), The correspondence between the candidate's profile expressed in
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, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling. Experience of Xray imaging is a bonus. Programming skills, for example Python or similar. Experience with operando
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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