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Insular U.S. The participant will be assigned to the project to help address the primary goal of investigating races of Hemileia vastatrix present in Puerto Rico, screening for susceptibility to coffee leaf
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blockchain frameworks. Proficiency in smart contract development (Go, Java, or Solidity) and blockchain SDKs/APIs. Hands-on experience with trusted execution environments (Intel SGX, ARM TrustZone
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China, in the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred
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in at least one programming language (C/C++, Python, Java). Strong mentorship and communication skills for guiding students. Excellent interpersonal skills for effective collaboration with
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analysis skills (R, STATA, Python, Java, etc.). Demonstrated commitment or interest in inclusivity and accessibility for older adults and/or people with disabilities. Outstanding organizational
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will have the opportunity to: Develop programming skills by creating or adapting software modules in programming languages such as Fortran, C++, Visual Basic, R, or Java for integration into USDA ARS
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multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with
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languages such as C/C++, Java, or Python. Additional or Preferred Qualifications Should be able to take initiative, but also work well as part of a team. Excellent critical thinking and communication skills
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methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and experience in areas such as database
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g