University College London Featured PhD Programmes
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Theoretical Physics (scientific computing) PhD Projects, Programs & Scholarships

We have 6 Theoretical Physics (scientific computing) PhD Projects, Programs & Scholarships

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  PhD position in Computational Sciences
  Prof C Alexandrou
Applications accepted all year round

Funding Type

PhD Type

PhD, with possibility of financial aiding at The Cyprus Institute (CyI). Supervisors. Prof. C. Alexandrou (CyI) [email protected]
  OIST International PhD Program

Funding Type

PhD Type

The OIST Graduate University offers an individualized PhD program providing a secure foundation in the fundamentals of your field, with unparalleled opportunities for cross-disciplinary research.
  The mathematics behind the smartness of neural networks
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

Intelligence is one of the pillars that allows animals to master their environment. Scientific approaches recently proposed have been capable of simulating networked systems that reproduce similar emergent manifestations of behavior as those observed in the brain.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  Statistics, Physics and Population Dynamics (GREENMANCU20SCIO)
  Dr C Greenman, Dr A Nikoloulopoulos
Application Deadline: 30 January 2020

Funding Type

PhD Type

Population dynamics are concerned with how sets of entities (e.g. cells) change through time. Such changes can be mediated by internal factors (such as mutations in a cell) or externally (environmental factors), and require stochastic techniques to model their behavior.
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