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entitled to request any candidate to present further documentation to support their statements. False statements provided by candidates are punishable by law. The documents referred to in paragraphs a) to d
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this vacancy contributes to the development of the above EmPowerED toolbox by developing simulation models for individual physical components of a PED to be used as building blocks for integrated PED models
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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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/nanofabrication, power electronics, electronic packaging and integration.• Experience with numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc.• Strong interest in multidisciplinary
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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
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secondment is to the group of Prof. Kemerink at the University of Heidelberg, Germany, for the simulation and identification of organic p-n junction doping structures for efficient emission. The second
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, disabled candidates will be given preference. Please upload complete application documents (cover letter, curriculum vitae, certificates, list of MSc courses and grades, copy of the master thesis, reference
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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About us You will join an international and highly
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, thesis) Copy of Bachelor’s degree and overview of grades (e.g. ‘Transcript of Records’) Copy of Master’s degree and overview of grades Contact details of 2-3 referees who are familiar with your scientific
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background in preferably more than one of the following areas: Thermodynamic analysis and simulation of energy technologies/processes/systems Programming tools such as Python, Matlab, Modelica, Pytorch, etc