Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS
-
Technology, Mechatronics, Robotics, Systems Engineering, Applied Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description
-
open, reproducible science. This exciting and challenging project will be jointly supervised by Prof Rossiter (Soft Robotics) and Prof Kent (Psychology) but will offer many networking opportunities and
-
– Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics
-
Bachelor or Master’s degree in a relevant field (e.g., transportation, urban planning, geography, civil engineering, spatial science, or mathematics) Demonstrated ability to undertake high-quality research
-
PhD in the epidemiology field Eligibility criteria Undergraduate degree with Honours or Masters in Science with units in mathematics and/or biostatistics Demonstrated coding experience: either
-
of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With
-
(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 29 days ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
-
science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato