153 coding-"https:" "https:" "https:" "https:" "https:" "https:" "University of Castilla La Mancha" research jobs in Australia
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checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful completion of relevant pre-employment checks
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profile in developmental psychology, with expertise in children's foresight strongly preferred. A demonstrated record of conducting in-person testing of children, and experience with coding and analysing
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experiments motion control and data acquisition machine Learning coding using Python writing using Latex. Sponsorship / work rights for Australia Visa Sponsorship is available Pre-employment checks Your
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communication and community outreach activities. Perform occasional teaching duties (e.g. lectures, seminars, practicals, unit coordination) as requested. Align with and actively demonstrate the Code of Conduct
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the development of research funding proposals as required. Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct. Cooperate with all health and safety policies
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, professional bodies and the community. 4. Other Comply with University policies, legislation and the UQ Code of Conduct, including OH&S, sustainability and ESOS obligations. This is a research focused position
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quantitative and analytical skills, with confidence using spreadsheets and/or coding for analysis Experience with process modelling and TEA tools (e.g., SuperPro, discounted-cash-flow modelling, bioprocess
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in resistance management. Recording, managing and analysing data using established data science methodologies (FAIR, coding workflows, version control). Preparing publications, reports and conference
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Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python