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classical topics in numerical analysis, such as the analysis of nonlinear PDEs or the development of new solver- or coupling-methods including their convergence analysis, but also modeling and simulation
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modelling, naturalist data usage. LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelExcellent Research FieldEconomics » Applied economicsYears of Research Experience1 - 4 Additional Information Eligibility
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targets through the investigation of anti-inflammatory peptides derived from animal venoms. The activities involve exploring the biology of the peptides and their in vitro effects on cellular models
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targets through the investigation of anti-inflammatory peptides derived fromanimal venoms. The activities involve exploring the biology of the peptides and their in vitroeffects on cellular models
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targets through the investigation of anti-inflammatory peptides derived from animal venoms. The activities involve exploring the biology of the peptides and their in vitro effects on cellular models
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microgrids. • Develop advanced computational simulation models, ranging from the simulation of complex and representative use cases to the detailed modeling of components such as power cables, power converters
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Intelligence algorithms: deployment of advanced AI algorithms, such as convolutional neural networks (e.g., ResNet, VGG) and object detection models (e.g., YOLOv5, YOLOv8), for the automatic recognition
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patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
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targets through the investigation of anti-inflammatory peptides derived fromanimal venoms. The activities involve exploring the biology of the peptides and their in vitroeffects on cellular models
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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and