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Field
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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, Niels Bohr Institute. The PhD programme A three year full-time study within the framework of the regular PhD programme (5+3 scheme) Qualifications needed for the regular programme To be eligible
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computational mechanics of composite materials, and should be enthusiastic to work in a collaborative project between industry and academia.Vacancy 3: PhD (4 years) or postdoc (3 years) on mechanical modelling
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Research Studentship in ‘Deformation and fracture of TRISO fuel particles’ 3.5-year DPhil studentship Supervisor: Prof Dong Liu, Prof Emilio Martinez-Paneda About the Project The proposed PhD
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The Institute of Material and Process Design at the Helmholtz-Zentrum hereon is offering a 4-years PhD position in the area of machine learning and computer simulations. The focus of the PhD project
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mechanisms and interactions with testing methods. The outcome will be the creation of a testing framework to enable regulatory approval of printed solar for commercial manufacture. PhD Scholarship details
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photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical analysis using Leslie-Ericksen
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tissue tropism, and mechanisms of immune evasion. Human cytomegalovirus is the leading cause of congenital infection worldwide. The Department is currently accepting applications for a PhD student (f/m/x
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in materials research is important, experience in nanofabrication, micromechanical testing, and numerical simulations is desirable. Our offer You will be enrolled in the doctoral program in Mechanical
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning