Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
multidisciplinary, international research university, with about 4000 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter
-
: Position Type: Postdoctoral Position Location: University of Helsinki, 00014, Finland [map ] Subject Areas: Astrophysics / High Energy Astrophysics High Energy Physics / Quantum chromodynamics Theoretical
-
applied research in quantum computing at Aalto University’s Electronics and Nanoengineering department. In this position you will have a chance to make a real impact by high-quality research and by
-
the world’s universities in most rankings and among the best universities in the world in certain fields. Our high-quality basic research, a multidisciplinary research profile and close cooperation in research
-
approach to trainee development and mentorship within the team. Ability to design, execute, and troubleshoot experiments to a high technical standard, with strong data analysis and interpretation skills
-
facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
-
Lecturer Ulla Savolainen (ulla.savolainen@helsinki.fi ). Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409778/postdoctoral-resear… Requirements Additional Information Work
-
Please send your application as a single PDF file through the eRecruitment system at https://www.aalto.fi/en/open-positions/postdoctoral-researchers-in-mathematical-analysis . Review of applications will
-
To view information about Workday Accessibility, please click here . Please see more of our Open Positions here. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409379
-
have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is