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the study of clouds and cumulus convection Strong conceptual understanding of cloud microphysical and turbulent processes Expertise in the use of modern scientific visualization software (Python, Matlab, etc
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discipline. Computing: Advanced programming skills (e.g., Python and/or R, MATLAB; scientific and ML libraries), with sound software practices (version control, reproducible pipelines). Mathematics: Strong
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the organization. Knowledge in data extraction and manipulation Technical experience with analysis and visualization tools (e.g. Excel, Power BI, Tableau, R, …) Proven experience with the usage of Python, SQL or DAX
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, spreadsheets, data visualization, and statistical or qualitative-analysis software. Experience with R, SPSS, SAS, Python, NVivo, Power BI, or similar tools is an asset. Familiarity with privacy, confidentiality
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. Advanced proficiency in OpenSees and OpenSeesPy, together with strong Python programming skills and experience developing reusable, documented, and version-controlled computational tools and workflows
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. • Strong proficiency in Python, FastAPI, and PostgreSQL. • Hands-on experience with LLMs, vector databases (e.g., Pinecone), and NLP tools. • Familiarity with clinical trial data structures, academic
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programming capabilities (1-3 years minimum experience) in languages relevant to accelerated materials discovery, particularly Python Behavioural competencies Research - Communication (Level 3) Research
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/embedded systems Integrating hardware with software Use of collaborative development tools such as Git Programming for FPGA and/or microcontrollers (C/C++) Programming application software in Python
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) in languages relevant to accelerated materials discovery, particularly Python Behavioural competencies Research - Communication (Level 3) Research - Creative thinking (Level 3) Research - Teamwork
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data analysis, modelling, and computational workflows, where appropriate. Qualifications: Strong programming skills in R and/or Python. Ability to develop reproducible computational workflows and