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statistical software (e.g., R/Python/Matlab) Writing sample At least 1 reference who can speak to your research skills Additional Qualifications Topical exposure/interest in development economics Experience
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. Qualified candidates will be evaluated based upon their: Demonstrated quantitative expertise and experience with biomedical data Proficiency in either R or Python, preferably both Familiarity with practices
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vision experience. Strong grasp of at least one general purpose development technology (Python, Javascript, Lisp, …) and of every day development tools (IDEs, Git, dependencies management, Linux & SSH, CI
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Oceanography or a related field is required by the time of appointment. Experience in analyzing hydrographic, velocity, and other oceanographic data (including programming in Matlab or Python) is highly
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, instrumental variables, treatment selection, power analysis Proficiency in R, Python, or Stata for statistical analysis Experience with SQL and data management Familiarity with Generative AI tools and LLMs
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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, GCP, AWS). Proven experience with building APIs and services using RESTful architecture. Expertise in programming languages such as Python and SQL, and experience with distributed computing systems like
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, and classical archaeology (especially color studies, iconography, funerary archaeology and GIS) and whose project would benefit from use of both the CHS and IHR libraries as well as access to material
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in a similar role in a startup environment preferrable Expertise in NLP, deep learning, and other relevant techniques Strong programming skills in Python and frameworks like TensorFlow Experience