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Field
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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programming languages relevant to computational modeling (e.g., Python, R, or similar). Data Analysis Tools: Experience with statistical software and data visualization tools (e.g., SPSS, Stata, Tableau). AI
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analysis of large datasets using Python, Matlab, or other programming languages - Experience with embedded system, particularly IoT sensor development. - Experience with optical sensor development preferred
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formats. Experience with AI and deep learning algorithm development for medical image analysis. Familiarity with SQL, Python, Tensorflow, Scikit-Learn, and Pandas. Additional Qualifications Considered
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technologies, is highly desirable. Skills: Strong knowledge of clinical informatics frameworks, standards, and methodologies. Proficiency in data analysis software (e.g., R, Python, SAS, SPSS, SQL) and
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publications and/or dissertation or equivalent evidence of expertise and completed research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological
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research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python Experience working in a research team Excellent writing and communication skills
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awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree related to ALICE or ATLAS. Experience from working with
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory