Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
Aachen. ENROLLMENT: The student will be enrolled in the PhD program of the department of Electrical Engineering and Information Technology, RWTH Aachen LEAVE: You will receive 30 days of leave plus
-
Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
-
22 Aug 2025 Job Information Organisation/Company RWTH Aachen University Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
-
addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits We offer a 4-year PhD position. Salary and social benefits in conformity with
-
Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
-
22 Aug 2025 Job Information Organisation/Company RWTH Aachen University Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
-
22 Aug 2025 Job Information Organisation/Company RWTH Aachen University Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
-
-containing systems. Who We Are Looking For: PhD Student / Research Assistant (m/f/d) The primary focus of this PhD position is to develop and apply in situ EPR spectroscopic techniques using a newly acquired X
-
research team at the Technical University of Munich in collaboration with the Walther-Meißner-Institute of the Bavarian Academy of Sciences and Humanities and open a PhD researcher position for a quantum
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image