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Field
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Science or Computational Biology. Excellent experimental and in silico skills relevant to the project (in particular genomics and bioinformatics), and strong programming skills (e.g., Python, R, Bash, Java, C++), are also
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relevant programming languages (e.g. Dart, Java, C) Knowledge and experience of using database and other relevant software (eg. statistical software such as R, STATA or SPSS) Experience of recruiting people
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Description Summary The selected candidate will assist faculty and graduate students in conducting lab work related to a research project on RTD coffee with milk. Responsibilities The selected candidate will
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; Excellent programming skills, such as Python, C++, Java, Julia, or other competent languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics
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Epidemiology or related subject or a similar quantitative discipline. Programming skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python
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. You should have demonstrable programming skill (preferably in functional languages, Rust or Java) and experience in tool development. The position is available on a full time basis until February 2027
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/ NiFi/ Knime, Programming in Python and SQL. Experience with version control systems (Git, CI/CD); Java/Scala is a plus. Familiarity with containerisation and orchestration like Docker and Kubernetes
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++, Python or Java is desirable Excellent verbal and written communication skills. The working language of the laboratory is English. Experience in communicating research findings to a non-specialist audience
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following programming languages: Python, Go, Java, C/C++. Excellent interpersonal communication and presentation skills, capable of working collaboratively with interdisciplinary teams. Ability to work
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engineering, maritime transport and management, computer science, or a related field from a good university; Excellent programming skills, such as Python, C++, Java, Julia, or other competent languages; A good