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degree in geosciences, physics, computer science, mathematics or related natural sciences Good programming skills, preferably in Python, Fortran or C++ Experience with geodynamic modelling software such as
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from multiple sources, including earth observation data, IoT-based sensor data, and in situ data Comfortable with programming or scripting in Python or R for data analysis and for bringing your models
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Competences Programming competence in R and Python Independent troubleshooting / problem solving Rigor and attention to details Effective communication in meetings Ability to document your code, pipelines
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to biological, imaging, or clinical data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with
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biology, computer science, or related field. Additional Qualifications Interested in molecular biology and genetics Proficiency in Python and software development. If visa sponsorship is needed, Harvard
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disciplines; (b) have a good command of both written and spoken English and Chinese, with fluency in Cantonese; (c) be proficient in using statistical software such as R, Mplus, SPSS, Python, etc
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will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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related field; (b) hands-on experience with programming (e.g., Python); (c) an interest in AI, machine learning, signal processing, or human-computer interaction; and (d) a passion for creating
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& writing) in English Competences • Programming competence in R and Python • Independent troubleshooting / problem solving • Rigor and attention to details • Effective communication in meetings • Ability
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experience with software related to experiment control and data analysis (Python, IMSwitch, PiScat) • Ideally, you have experience working with DNA-origami and DNA-PAINT assays. • You have an excellent command