Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
of Bayesian computational statistics as part of the EPSRC funded ‘PINCODE' project (EP/X028712/1), under the clear guidance of Prof. Murray Pollock and Prof Hongsheng Dai. Work closely with other members
-
(Durham) and Prof G. O. Roberts (Warwick) Participate within the statistical community at Newcastle, including active involvement in seminars and research groups Publish research findings in leading
-
theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning our current areas of research
-
will engage in theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning our current
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
Job Code: MPIDS-W087 Job Offer from October 01, 2025 In the Department of Living Matter Physics (LMP) we seek to fill a number of PhD positions - Statistical Physics and Active Matter. The Max
-
Job description: A Research Assistant / Associate position, funded by a Wellcome Trust Collaborative Award in Science, is available in the research group of Prof. Dylan Childs. The grant is led by
-
light harvesting to substrate/antibiotics transport through membrane pores. The Computational Physics and Biophysics Group is led by Prof. Ulrich Kleinekathöfer and is located at Constructor University
-
analytical thinking sufficient foundation in statistics and quantitative skills strong written communication skills experience with health economics and HTA is an advantage (but not a requirement) Fluency in
-
collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
-
assessment instruments are combined to gain a differentiated insight into family influence processes. The project is led by Prof. Dr. Anna Kornadt (Uni Luxembourg), Prof. Dr. Michaela Riediger and Dr. Antje