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both independently and as a team member. Ability to work carefully with sensitive and confidential data. Ability to work with large, complex, and/or administrative datasets. Working Conditions
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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. The ability to work collaboratively and collegially with faculty and staff. Strong skills in planning, organizing, information integration, and decision-making. Experience in leading mid-to-large scale multi
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• Real Estate • Business Innovation & Technology and Communications • The Finance & Administration organization Please visit the UW Facilities web page for more information: https://facilities.uw.edu
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research, business intelligence, and analytics, preferably within a complex higher education or large non-profit environment. Must include demonstrated experience in developing strategic data infrastructure
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belongs to one of the three marine stations of Sorbonne Université. With about 120 permanent staff, the LOV generates and analyses a large quantity of marine data, including imaging, genomic, and satellite
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, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu
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management, data visualization, or processing of large-scale biological, medical, and/or operational data Generation of professionally written and graphical reports Manages ongoing stakeholder/client
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | about 11 hours ago
Additional Information Work Location(s) Number of offers available1Company/InstituteUCAM HiTech, Sport & Health Innovation HubCountrySpainGeofield Contact State/Province Murcia City Murcia Website http
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Depressive Disorder (MDD) and advance patient-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD