Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
contribute to the development of digital twins of propellers and explore collective learning approaches, where multiple propellers cooperate for optimal flight control. The PhD will be carried out in joint
-
a highly motivated PhD candidate to work on sloshing control in liquid tanks as part of the ERC project ReTwist in the team of Prof. Miguel A. Mendez. Sloshing – the wave-like motion of liquid in
-
molecular components, including maternal mRNAs. These messages regulate protein production and guide early development before the embryo takes control of its own gene expression. But timing is crucial
-
interdisciplinary, and there are multiple aspects to it that one or two different persons can fill with different interests/backgrounds. In all cases, extensive project training will be provided. Candidates with
-
aims to develop a novel theoretical framework for nonlinear and robust control of dynamical systems from a phase perspective. You will have the opportunity to freely explore multiple research directions
-
preference in the IPP application platform. Qualification profile: Are you an ambitious scientist looking to push the boundaries of research while interacting with colleagues from multiple disciplines and
-
van der Waals materials; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD
-
; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD strives to employ more
-
This PhD studentship is a part of Rolls-Royce sponsored research centre developing advanced control systems to enhance the performance and efficiency of new aerospace propulsion systems. We apply a
-
the fields of microsystem engineering, microdevices and microfluidics, intelligent systems programming and modeling, autonomous control and computer vision are preferred. The successful candidate should be