Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical medicine. As part
-
PhD thesis within the contract period is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of the Faculty
-
, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
-
education, result of an English test (if you attended a non-English taught MSc program), a publication list (if applicable) and contact details of two referees. Since only three documents can be uploaded per
-
and MSc education, result of an English test (if you attended a non-English taught MSc program), a publication list (if applicable) and contact details of two referees. Since only three documents can be
-
skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions. World-leading industrial partners with a wide range of interests will provide advice on which
-
band score of at least 6.5, internet. TOEFL test (TOEFL-iBT) showing a score of at least 90, or a Cambridge CAE-C (CPE). About the department You will work at the Physics of Interfaces and Nanomaterials
-
will design, implement, and evaluate, within the framework of Design-Based Research, a professional development programme that supports STEM instructors in using AI effectively and critically in
-
-class expertise from eight Dutch Universities, five Research Institutes and relevant societal stakeholders that play a major role in research and management of the North Sea. The six-year program (2025
-
together academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric