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
-
outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part
-
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
-
-Sensitive Infectious Diseases lab (CSIDlab) at the Interdisciplinary Center for Scientific Computing (IWR). The CSIDlab, led by Prof. Dr. Joacim Rocklöv, conducts research with a focus on vector-borne
-
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
-
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
-
14 Oct 2025 Job Information Organisation/Company Empa Research Field Computer science » Programming Computer science » Other Engineering » Electrical engineering Engineering » Other Mathematics
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
, students, and visitors. The research The PhD students will engage in theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin
-
experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use