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Field
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such as R/Python/Java or similar languages, and familiarity with Unix-based platforms is advantageous Experience working in cloud environments (e.g., AWS) is beneficial High motivation and willingness
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(experience in R, Perl, Python, SQL, Bash etc). Prior experience and working knowledge of additional computational platforms and applications (e.g. Quantum computing, Perl, Java, etc.) preferred. A team player
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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
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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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, toxicology and with Java script/Web frontend development Please send your application (including cover letter, curriculum vitae and relevant certificates), referencing the job idDR/037/26 to Humboldt
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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). Skill and
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environments such as R, Java, Python, C++; Ability to communicate statistical concepts and data analysis interpretations to the group; Experience in genetic analysis of environmental exposure risk factors
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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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. Doctorate in Computer Science or Electrical Engineering, or expecting to receive it within six months. Experience with one or more general purpose programming languages such as C/C++, Java, or Python
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datasets (e.g. video, acoustics, clinical records) for predictive modelling and decision support. Proficiency in programming languages such as Python (and/or Java, C/C++), with hands-on experience using deep