Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
is available from 01.11.2025. About us The Chair of Agrimechatronics (Prof. Oksanen) studies especially Intelligent Machines for Agriculture. The research themes include topics like tractors and other
-
generated for natural selection to act on. In this joint PhD project between the University of Groningen (promotors Prof. Martijn Egas and Prof. Rampal Etienne) and Utrecht University (co-promotor Dr. Bram
-
be obtained from Prof. Patrizio Mariani on mail pat@aqua.dtu.dk https://www.aqua.dtu.dk/english/research/research-areas/observation-technology If you are applying from abroad, you may find useful
-
4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins The ability to simulate initiation and detonation effects within energetic materials is a significant capability gap
-
4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins Classic finite elements approach (FEA) approximate the shape of the model using elements with planar faces, therefore
-
PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
generated for natural selection to act on. In this joint PhD project between the University of Groningen (promotors Prof. dr. Martijn Egas and Prof. dr. Rampal Etienne) and Utrecht University (co-promotor Dr
-
modelling. Application of the produced soft sensor to investigate the feasibility of process control. The project will be supervised by Prof. Jürgen Hubbuch and Dr.-Ing. Iris Perner-Nochta. The successful
-
or Electrical Engineering or a related area; >5 years of experience post Ph.D. degree; the ability to work independently and as part of a team of engineers, scientists, and clinicians; and motivation
-
science or engineering related discipline. To apply, please contact Prof. Lev Sarkisov - lev.sarkisov@manchester.ac.uk . Please include details of your current level of study, academic background and any
-
, including engineering, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance