Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
tentatively entitled “Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing”, and will address “to what extent V2G
-
the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 4340 / 2025 / 8969 Is the Job related to staff position within a Research Infrastructure? No
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
No: 101227148) and coordinated by the University of Bergen, Norway. Supervisors: Prof. Martin Reincke , Prof. Nicole Reisch Location: Ludwig Maximilians University Hospital Munich, Germany Duration: 3 years
-
Czech Republic Application Deadline 31 Mar 2026 - 23:00 (UTC) Type of Contract To be defined Job Status Part-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme
-
26 Nov 2025 Job Information Organisation/Company Pro2Future GmbH Department Orchestration Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD
-
PhD Research Fellow in Optimized monitoring of patients with primary adrenal insufficiency (DC1) at the Faculty of Medicine, University of Bergen, Norway PhD-position at the Faculty of Medicine
-
Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number 101227121/ DC10 Marie Curie Grant Agreement Number 101227121 Is the Job related
-
the University of Bergen, Norway. Supervisors: Prof. Martin Reincke , Prof. Nicole Reisch Location: Ludwig Maximilians University Hospital Munich, Germany Duration: 3 years (with possibility of extension) Start
-
Antenna Design: Developing innovative antenna systems compatible with metal detector coils, optimized for tasks such as minimum-metal landmine detection and deep object detection. Low Power, Compact