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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The control of physical or chemical phenomena resulting from
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Analyze dynamical states of spiking complex neuron networks with respect to network topology and neuron parameters Development of learning rules considering the strong non-linearities of the neurons
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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | about 1 month ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD student to join our
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Technology (NTNU) for general criteria for the position. Preferred selection criteria Knowledge of constitutive modelling of materials Knowledge of non-linear finite element methods Experience with programming
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criteria for the position. Preferred selection criteria Knowledge of constitutive modelling of materials Knowledge of non-linear finite element methods Experience with programming using Python and Fortran
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simulation of time dependent non-linear PDEs has emerged as a key technology. A main task of this employment is the development and analysis of numerical methods for wave propagation problems. Particular focus
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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly
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help by: advancing the design of the structural glass window considering lateral loads but also aspects such as temperature effects, building physics, constructability, etc. performing non-linear
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computation and characterisation of water waves is therefore of paramount scientific importance. Classically, water waves are assumed to be two-dimensional (one horizontal direction), steady (do not change in
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laboratory- and synchrotron-based X-ray tomographic scanners. For this it will be necessary to pursue the development of an X-ray dose optimised fast imaging concept to characterise static and dynamic shapes