Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- University of Tübingen
- ; Technical University of Denmark
- DAAD
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- University of Duisburg-Essen
- University of Paderborn
- 5 more »
- « less
-
Field
-
The opportunity to establish your own junior research group, including a newly created PhD position" (75% E13 TV-L). The team will also include a technical staff member responsible for maintaining the TüDiLab and
-
: applicants should hold a PhD degree in quantitative science such like bioinformatics, physics, computer science or a comparable field proved outstanding skills in computer science, physics, mathematics, or a
-
teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
-
-projects of the research group: Sub-project F "Management and quantification of maturity improvement" : Investigation and development of mathematical methods which allow to quantitatively and meaningfully
-
`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
-
meetings, conferences, and as scientific papers Contribute to educational events, such as courses and hackathons Your Profile: Excellent Master or preferably subsequent PhD degree in Computer Science
-
master's degree (or equivalent diploma) and a PhD in meteorology, oceanography, or a related natural or geoscientific discipline with significant physical and mathematical components. It is essential
-
Review, update, and consolidate methodologies, including Bayesian methodologies, in the context of material balance evaluation Your Profile: PhD in applied mathematics, computer science, physics, or in
-
passionate about understanding the environment. You should hold a master's degree (or equivalent diploma) and a PhD in meteorology, oceanography, or a related natural or geoscientific discipline with
-
medical professionals to translate research into real-world applications. Mentor graduate students, teach related courses, and contribute to grant writing. Requirements A PhD or equivalent in a technical