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proficiency in Python/R and SQL. Experience with Robotic Process Automation (RPA) tools such as UiPath and Power Automate is an advantage. Proven track record in planning and executing data analytics projects
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Science, or related field Knowledge of flexible antennas, wireless communications, and machine learning Good skill set in signal processing and optimization techniques Proficiency in Python for modeling and machine
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. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable. MLOps & Cloud
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programming languages (Python, Go, Java, C++) Experience with configuration management and orchestration tools (Ansible, Terraform) Excellent trouble shooting, organization skills, and problem solving skills
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-trained Models. A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and
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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 aquatic biogeochemistry and watershed-scale monitoring Fieldwork proficiency including sensor deployment Analytical and modelling skills with R or Python Excellent scientific communication
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static and dynamic analysis methods. Proficiency in programming languages such as Python, C/C++, and Java. Familiarity with software debugging, vulnerability analysis, and program comprehension techniques
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, or a related discipline. Minimum 8 years of relevant experience in software engineering, AI systems development, or research engineering roles Strong programming experience in Python or similar
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in at least one programming language for data science and numerical computing (e.g., Python, Fortran). We regret that only shortlisted candidates will be notified. Hiring Institution: NTU