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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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Add to My Favorite Jobs Email this Job Job Summary Job Summary Under the Senior Storekeeper-Supervisor, partners with and also takes direction from Sr. Lead Laborers. Utilizes a variety of hand/power
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manner. We are also open to discussing flexible working arrangements. Are you committed to delivering an exceptional applicant experience? Are you a well-organised and adaptable individual with a strong
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 19 days ago
of teleworking and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access
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. Demonstrated ability to work as a member of a team in a supportive, inclusive and collegial manner. Proven computer literacy and proficiency in using various research and administrative software applications
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excellent service provision and continuous improvement, placing the student experience at the heart of what we do with support for a single Professional Services (PS) team working flexibly across
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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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of the process. Informal enquiries can be made in confidence to Katherine Morrissey Moran /Gemma Napier: Email: k.morrisseymoran@ucc.ie / gemma.napier@ucc.ie Further information is available at https://www.ucc.ie
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for a Post
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as