Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
process. The project will involve the fabrication and characterisation of 3D multi-material metal structures, with emphasis on understanding interactions between dissimilar materials at the microscale
-
areas, which will be used to train and assess boundary layer neural network models. The student will develop and evaluate suitable ML architectures, analysing the trade-offs between different modelling
-
trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult
-
. The initial stages of the project will include establishing sample fabrication protocols using different growth techniques, such as sputtering deposition, thermal evaporation, and e-beam evaporation. The PhD
-
propagation physics (acoustic, seismic, ultrasonic, electromagnetic) and/or diffusive phenomena (e.g., electrical resistivity). Strong programming skills either Python, MATLAB, julia or other scientific
-
Land Take. The consortium comprises four complementary PhD projects addressing different methodological and thematic aspects of urban energy systems. The successful candidate will be based at Empa
-
Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 12 hours ago
-solver mindset; Knowledge of Python and MATLAB programming language; Excellent oral and written skills in English. 7. Evaluation of the applications and publication of the results Under the terms
-
objective of the thesis is to model the intermolecular interactions between metabolites and a chemically modified gold surface in the presence of different ions. Molecular modeling will be performed with
-
two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
-
: Developing and applying simulation and optimization models to analyze energy flows, operational strategies and design decisions in a multi-energy system (power, gas, heat) Investigating different community