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independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able
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methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis
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/network analysis, solid mechanics, materials science, soft condensed matter physics, or computational modeling. Experience with data analysis or computational tools using MATLAB, Python, or similar
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analysis, imputation of missing data, multilevel modelling, experience of using statistical software such as R and/or Python. Further particulars are included in the job description. The post is full-time
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, Computer Science, or related field. Strong programming skills in Python, R, or equivalent, with experience in data analysis, statistics, and machine learning. Experience with multiomic datasets, including RNA
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science, neuroscience, computer science, psychology or a related field. They should have strong Python skills, experience with transformer language models, knowledge of interpretability methods and
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regression, survival analysis, imputation of missing data, multilevel modelling, experience of using statistical software such as R and/or Python. Further particulars are included in the job description. The
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metrology, profilometry or microscopy, together with statistical analysis in R, Python or equivalent software. Dental crown materials, restorative dentistry, prosthodontics or dental laboratory workflows
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and quantitative models. Documented capabilities in programming like Python, R, SQL, or Julia. Proficient in Excel and PowerPoint. Preferred Qualifications Geospatial modeling and analysis is a
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement