Customer relationship management • Responsible for customer satisfaction through quality of service and through regular, proactive, and precise on-site communication (callout ETA, job performed, etc) • Responsible for accurate and real time back reporting of work
IDea_Lab - Das interdisziplinäre digitale Labor der Universität Graz Professur für Machine Learning Methods 2 Bewerbungsfrist: Stellenprofil: § 98 UG Wochenstunden: 40 h/W Verwendungsgruppe: A1 Dienstbeginn: Oktober 2027 Anstellungsdauer: Unbefristet Stellenbeschreibung Die Professur fokussiert auf die methodischen
Your professional field of activity:We are looking for a postdoctoral university assistant to complement the research team around Univ.-Prof. Ilaria Perugia, PhD.The focus of our research is in the area of Numerical Methods for Partial Differential Equations
Die semantische 4D-Belegungsvorhersage (Semantic 4D Occupancy Forecasting) ist von entscheidender Bedeutung für sicheres autonomes Fahren , da sie es Fahrzeugen ermöglicht, zukünftige Szenendynamiken und -geometrien zu antizipieren. Das Training moderner State-of-the-Art-Modelle stützt sich jedoch stark auf
Logo Postdoc: Operando on chip investigation of failure in optical phase change materials using ultrafast X rays Aarhus University, Department of Chemistry, Denmark, invites applications for a fully funded 2 year postdoctoral position starting 1 January,
Your personal sphere of influence:As a university assistant (praedoc) on this 4-year position, you will be part of the Quantum Nanophysics Team (QNP) around Prof. Markus Arndt. Our group is working on experiments at the interface
Your role:Your future position is based at the Department of Government, which is a leading centre for research on the comparative politics in Europe and beyond. The position is to be filled from 1 October 2026
Your personal scope:As a University Assistant (Postdoc) you will be part of the Computational Communication Science Lab (CCL), an interdisciplinary research network under the direction of Univ.-Prof. Dr. Annie Waldherr and Univ.-Prof. Hajo Boomgaarden, PhD at
Die semantische 4D-Belegungsvorhersage (Semantic 4D Occupancy Forecasting) ist von entscheidender Bedeutung für sicheres autonomes Fahren , da sie es Fahrzeugen ermöglicht, zukünftige Szenendynamiken und -geometrien zu antizipieren. Das Training moderner State-of-the-Art-Modelle stützt sich jedoch stark auf