Sort by
Refine Your Search
-
check whether the model can reliably predict the parameters of a demonstrator component What you bring to the table You are studying industrial engineering, physics, computer science, mechanical
-
programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
-
! Fraunhofer Institute for Computer Graphics Research IGD www.igd.fraunhofer.de Requisition Number: 80165 Application Deadline: 09/14/2025
-
carried out in the business unit Next Generation Computing at Fraunhofer IPMS in Dresden. The examination takes place via affiliation with a German university of applied sciences and is governed by
-
of technology open up opportunities for exciting scientific projects with clear application prospects. The InP-based lasers developed at HHI are found in transmitters at the beginning of fiber optics, in
-
Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS . With our expertise in the development
-
, computer engineering, or a comparable field (bachelor's/master's degree) Interest in modern manufacturing technologies and welding processes Experience with Python/data analysis Structured, independent
-
The Micro Materials Center (MMC) focuses on the reliability of electronic components. The aim of the application-orientated research is to improve the reliability of electronic components through suitable experimental investigations and the use of numerical models, and furthermore, to carry out...
-
The Fraunhofer Institute for Applied Optics and Precision Engineering IOF in Jena conducts applied research in the field of photonics and develops innovative optical systems to control light - from
-
, Biophysics or a related field), and current enrollment in a Master's program Practical experience with basic molecular biology techniques (e.g., pipetting, buffer preparation, sterile work); prior experience