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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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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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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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that cost >$6k. Job Requirements: BSc in Chemistry, Materials Science, Chemical Engineering, Physics or a related field, a strong publication record. Fluent in programming in C, C++, Python, MATLAB. Use both
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(Excel or Power BI) and in at least one data science tool (Python or R) and have prior experience working with other stakeholders to deliver successful learning outcomes. Experience in performance
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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
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Are you excited by the challenge of helping turn raw data and bold ideas into real-world AI systems? Do you thrive on fine-tuning models, writing clean Python and solving thorny technical problems
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or solar-planetary science, with demonstrable expertise in imaging or spectroscopy of auroral emissions. Strong programming skills (e.g., Python or C++) and experience with space-based data analysis
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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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one statistical software (e.g., R, Stata, SPSS, Python) Expertise in quantitative analysis, with preferred skills in Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM) Social