Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
phenomena across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s
-
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling Job No.: 683222 Location: Clayton campus Employment Type: Full-time Duration: 3.5 to 4-year fixed
-
Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
-
of Denmark and in Greenland, and we collaborate with the best universities around the world. Job Info Job Identification 5603 Job Category Phd Posting Date 07/31/2025, 06:43 AM Apply Before 08/14/2025, 10:59
-
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
-
Application deadline: All year round Research theme: Systems and Control How to apply: uom.link/pgr-apply-2425 This 3.5 year PhD project is funded by The School of Engineering and is available
-
/Alzette (Belval) 1511, Luxembourg [map ] Subject Area: Mathematics Appl Deadline: (posted 2025/01/16, updated 2025/02/06, listed until 2025/07/31) Position Description: Apply 2025/07/31 11:59PM Position
-
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
-
of Economics and Management Faculty of Mathematics and Natural Sciences Faculty of Organic Agricultural Sciences Faculty of Civil and Environmental Engineering Faculty of Mechanical Engineering Faculty
-
sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data