Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- MASARYK UNIVERSITY
- Biology Centre CAS
- Biofyzikální ústav Akademie věd ČR, v. v. i.
- Brno University of Technology
- Brno University of Technology, Central European Institute of Technology
- CEITEC MU
- Czech Technical University in Prague
- Institute of Physics of the Czech Academy of Sciences
- Masaryk University - Faculty of Science
- Masaryk University - Faculty of Science – RECETOX
- UCT Prague
- University of Chemistry and Technology Prague
- 2 more »
- « less
-
Field
-
, • in-depth knowledge of machine vision principles and image processing, • programming experience, preferably in Python, • practical experience with the design and testing of simple electronic circuits
-
). The candidate should have hands-on experience developing state-of-the-art machine learning models, particularly deep neural networks (experience with graph neural networks is highly valued). Their background
-
modelling, and FGF printing and skills in using ML in analysis and design of FGF printed auxetic structures. Suitable candidates should have a Ph.D. in Polymer Materials Science, experience with electron
-
Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications The applicant must have: PhD in plasma physics Experience abroad or in industry Extensive experience in experimental
-
Qualifiations The applicant must have: PhD in plasma physics Experience abroad or in industry Extensive experience in experimental plasma physics Solid expertise in optical or laser spectroscopy Ability to
-
. Your qualifications MSc degree (or equivalent) in physics Knowledge of plasma physics is a plus Experience in programming languages (e.g. Python, C++) Proficiency in English, both written and spoken We
-
, experience with electron microscopy or NMR spectroscopy is an advantage. Information about the supervisor https://www.ceitec.eu/prof-lukas-zidek-ph-d/u17604?page=publication More information on Lukas Zidek
-
educational attainment: University degree Qualification level: R1 Professional requirements: Completed university education focused on medical applications; Practical experience in biochemical, microbial, and
-
collaboration with leading experimental teams and will be tailored to the interests and strengths of the candidate. We look forward to discussing this exciting opportunity and the project's scope further during
-
will have a background in computational sciences or life sciences with a strong interest in applying these skills to environmental health research. Experience with programming, statistics, or machine