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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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documented research experience in a related field. The applicant should have experience in one or more of the areas/fields mentioned below Proficiency in programming languages such as Python or R. Experience
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qualifications: Strong experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop biomass Insight into global
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
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skills in at least one relevant language (e.g., Python, R, Rust, JavaScript) Familiarity with smart contract interaction (e.g., web3.py/ethers.js, Solidity/Vyper, sub-graph indexing), and local development