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conducting and reporting epidemiological studies using real-world data is essential. Proficiency in using statistical software packages such as R, Stata, SAS, or Python is also required. Strong organisational
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Other Computer Applications: Programming languages (such as MATLAB, Python, C, Java) and Graphic Design software (such as Adobe Illustrator or Photoshop) Required Additional Knowledge, Skills and
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, or cybersecurity Ability to develop prototypes in Python (e.g. with PyTorch, LangChain or similar frameworks) Familiarity with LLM prompting, RAG pipelines, or goal-driven agentic workflows is a plus Excellent
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analysis in Python or R Experience analyzing next-generation sequencing (NGS) data Experience with mass spectrometry-based immunopeptidomics data analysis is a plus Hands-on expertise with version control
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., Python, R, MATLAB) Experience in built environment monitoring Fluent English skills, both written and spoken. Ability to publish the research results in high-reputation international journals Personal
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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lead a team of data analysts in conducting complex data analyses to support the enhancement of child welfare systems. Utilizing your expertise in data manipulation and visualization with R, Python, and
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intelligence, or a closely related field such as computer engineering, psychology, or biomedical engineering. A solid foundation in experimental methodology, Python programming, machine learning, and statistical
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The candidate should hold or be pursuing a Bachelor of Science degree. Ability to code in Python Preferred Qualifications Two years of college experience Ability to code in C++. Strong analytical skills. Ability
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neuroendocrinology and research methods used in this field. ■ Experience mentoring or collaborating with undergraduate students ■ Familiarity with statistical software (e.g., R, SPSS, or Python-based tools). ■ Prior