Dissertation

No calendar events were found within the current period.

Upcoming calendar events:

• Uncertainty quantification for high frequency waves

  7 Dec

  Public defences of doctoral theses

  Applied mathematics and computational mathematics

  Friday 2018-12-07, 10:00

  Location: sal K1, Teknikringen 56, KTH, Stockholm

  Doctoral student: Gabriela Malenová , Mathematics

  2018-12-07T10:00:00.000+01:00 2018-12-07T10:00:00.000+01:00 Uncertainty quantification for high frequency waves (Public defences of doctoral theses) sal K1, Teknikringen 56, KTH, Stockholm (KTH, Stockholm, Sweden)Uncertainty quantification for high frequency waves (Public defences of doctoral theses)

• Theresa Stocks: Stochastic dynamic modelling and statistical analysis of infectious disease spread and cancer treatment

  13 Dec

  Dissertation

  Thursday 2018-12-13, 10:00

  Participating: Theresa Stocks, SU

  Location: Room 14, House 5, Kräftriket, Department of Mathematics, Stockholm University

  Doctoral student: Theresa Stocks, SU , Mathematics

  2018-12-13T10:00:00.000+01:00 2018-12-13T10:00:00.000+01:00 Theresa Stocks: Stochastic dynamic modelling and statistical analysis of infectious disease spread and cancer treatment (Dissertation) Room 14, House 5, Kräftriket, Department of Mathematics, Stockholm University (KTH, Stockholm, Sweden)Theresa Stocks: Stochastic dynamic modelling and statistical analysis of infectious disease spread and cancer treatment (Dissertation)

• Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning

  17 Jan

  Public defences of doctoral theses

  Applied and Computational Mathematics - Optimization and Systems Theory

  Thursday 2019-01-17, 13:00

  Location: sal F3, KTH, Lindstedtsvägen 26, Stockholm

  Doctoral student: Axel Ringh , Mathematics

  2019-01-17T13:00:00.000+01:00 2019-01-17T13:00:00.000+01:00 Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning (Public defences of doctoral theses) sal F3, KTH, Lindstedtsvägen 26, Stockholm (KTH, Stockholm, Sweden)Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning (Public defences of doctoral theses)