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counter lobby area, including refilling and organizing brochures, supplies, and other items needed for staff and customers. Has working knowledge of the PeopleSoft computer system. This includes
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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the vacancy, shortlisting and interviews: Name: Matt Hughes Email: matthew.hughes-3@manchester.ac.uk General enquiries: Email: People.recruitment@manchester.ac.uk Technical support: https
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solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire
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development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS
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Cartney Email: patricia.cartney@manchester.ac.uk General enquiries: Email: People.recruitment@manchester.ac.uk Technical support: 0161 850 2004 https://jobseekersupport.jobtrain.co.uk/support/home This
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Overview: Full-time, Fixed-term position until 22 February 2027 Salary Level HEW 5 + 17% Superannuation and Flexible Working Arrangements Based on the Melbourne CBD campus, however, you will be
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copiers, and wish to remove or return materials. Functional Responsibilities: Show reliability, dependability, flexibility and a pleasant disposition Have a basic computer knowledge and familiarity with
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. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may undertake to make
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-term, part-time (0.5 FTE) contract opportunity, with the ideal candidate expected to be available to work 5 days per week, on a part-time basis with some flexibility. Key Responsibilities Prepare and