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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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, metamaterials, and/or soil–structure interaction, and proven skills in experimental design and testing as well as numerical modelling (e.g., FEM). Experience with railway dynamics, soil mechanics, or nonlinear
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the Fourier Modal Method (FMM), Rigorous Coupled-Wave Analysis (RCWA), and the Finite Element Method (FEM). A numerical code will also be written to establish the correspondence between the reflection
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on representation and public opinion. Read more about the position and apply here . The research project The position is part of the project “Fem-LEAD: Female Leaders and Effects from African Droughts”, led by
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Castillo | Facultad de Ciencias ), Dr Iris Hordijk (FEM, WUR, dr. IE (Iris) Hordijk - WUR ) and Dr Jente Otteburghs (FEM-WEC, WUR, dr. J (Jente) Ottenburghs - WUR ). Where to apply Website https
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experience with CAD/FEM software Experience in one or more of the following fields is a plus: simulation frameworks (e.g. SOFA, NVIDIA IsaacLab), ROS1/2, machine learning, computer vision Excellent
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converters. Very good analytical skills and methods Experience with simulation and design tools such as Plexim, PSIM, FEM tools, Altium Designer and MATLAB Experience in the development, troubleshooting and
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., anti-inflammatory, antioxidant, antimicrobial activity) to rapidly identify and prioritize the compounds or compound classes responsible for the observed biological effects. Where to apply Website https
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field. Knowledge in FEM (including programming thereof) is required. You will need strong written and verbal communication skills in English. You will be expected to take on responsibilities within
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD