Sort by
Refine Your Search
-
Supervisor: Dr. Alexandre Shen Focus: thermal management for photonics Background: physics, electrical engineering, photonics, or a closely related discipline Apply: https://mgician.eu/research/doctoral
-
offers the chance to obtain further academic qualification (usually PhD). Tasks: The Chair of "Physics of Quantum Materials" (https://tu-dresden.de/mn/physik/ifmp/pdqm ) is seeking a motivated researcher
-
offers the chance to obtain further academic qualification (usually PhD). Tasks: The Chair of "Physics of Quantum Materials" (https://tu-dresden.de/mn/physik/ifmp/pdqm ) is seeking a motivated researcher
-
field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology Practical
-
PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
and knowledge in physical chemistry or solid-state physics You will primarily work at DTU Chemistry with some experiments taking place at the collaborating institutions. The overall project is conducted
-
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
-
fields. There are currently nine Ph.D. programs available to international applicants. Biology Chemistry Physics Quantitative Biology and Complex Systems Electronic Science and Technology Materials Science
-
of results Your profile Masters, Diploma or equivalent degree in in a scientific field (e.g. biology, chemistry, physics) or related subject (i.e. Pharmacy, Food Technology) Experience in a laboratory
-
requirements: MSc degree or comparable degree in electrical or mechanical engineering, physics or a related subject. The project involves hands-on cleanroom work, device fabrication, and high-frequency
-
software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both