Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
-
the Biological and Soft Systems group of Prof. Eugene Terentjev at University of Cambridge, UK. In addition to carrying out fundamental soft matter physics and chemistry innovation, we will demonstrate
-
The Institute of Material and Process Design at the Helmholtz-Zentrum hereon is offering a 4-years PhD position in the area of machine learning and computer simulations. The focus of the PhD project
-
of bespoke probabilistic models and/or evolutionary simulations, robust knowledge of and an affinity towards mathematical, computational or probabilistic modeling are important. Further skills in modeling and
-
of Tübingen. The project is led by Principal Investigators Dr. Marlen Fröhlich, Prof. Dr. Michael Franke (both Tübingen) and Prof. Dr. Manuel Bohn (Lüneburg). The successful candidate will support the project
-
in materials research is important, experience in nanofabrication, micromechanical testing, and numerical simulations is desirable. Our offer You will be enrolled in the doctoral program in Mechanical
-
significant research program funded by the Australian Research Council Discovery Project titled “Discovering the sustainable size of cities”. This interdisciplinary project investigates how high-speed rail (HSR
-
: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
compartmental models for RSV developed within the STAMP-RSV program by tailoring an established software library for individual simulation to the Australian RSV transmission context. Information to parameterise