Worker Sub-Type:Regular Job Description: Be part of something special; come join the Secusmart Software Development team! Secusmart, a subsidiary of BlackBerry Limited, is the leading expert in the development and implementation of comprehensive anti-eavesdropping solutions for German
As an experienced sales professional, you will address your clients’ most critical priorities. You will identify opportunities for account retention and growth through contract expansion, introducing new services and products. This is a field-based role, selling
Company Description Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both
Description of the workplace The position is placed at the Department of Computer Science ( and will be part of the strategic research area ELLIIT, Excellence Center at Linköping - Lund in Information Technology ( a
Worker Sub-Type: Regular Job Description: Be part of something special; come join the Secusmart Software Development team! Secusmart, a subsidiary of BlackBerry Limited, is the leading expert in the development and implementation of comprehensive anti-eavesdropping solutions for
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
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