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the Python programming language is an absolute requirement Experience with global vegetation models, satellite products (L3 or L4), and/or machine learning applied to spatially explicit data would be an asset
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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literacy with excellent skills in Microsoft Office applications and databases, in particular in Microsoft Excel. Preferably, strong analytical skills and familiarity with data analysis tools (e.g. R, Python
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solving and decision-making skills. Expert in SQL, Python, R, and Excel. Proficiency in relational databases with experience designing transformations, mappings, and working with reference table. Knowledge
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, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks (PyTorch, TensorFlow). Experience with dataset curation, annotation
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, Python and APIs to fulfill solution development. Essential Duties and Responsibilities Creates intuitive AI-driven interactions-such as chatbots and voice assistants-that prioritize a seamless and
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such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities
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Artifact Repository: Artifactory Network: SSH, SCP, FTP, HTTP(S), TCP/IP, STIG compliance, firewall/iptables setup. Scripting: Bash, Perl, Powershell, YAML, Python Operating System: LINUX (Redhat, Ubuntu
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or Doctoral Degree in Epidemiology or related field. Experience with coding in R (or python), including the use of generative AI tools and best practices for data reproducibility (e.g., tidyverse