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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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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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obtained from ex vivo robotic tests will inform multiscale numerical models of tissue mechanotransduction, calibrated using in vivo murine gait analysis and behavioral tracking provided by IRMB
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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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will be expected to dedicate your time develop a high-biofidelity, high-resolution computational rat model with dual applications: i) advance the mechanistic understanding of brain injury by linking
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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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terrestrial gravimetry (measurements, processing, modelling) is an advantage - Understanding of geodetic data analysis and geophysical processes is an asset - Basis understanding of quantum physics is a plus
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: Fiber-based soft optical actuator Design and fabrication of high-performance soft optical actuator Design, modeling, and scalable manufacturing of miniature, highly integrated fiber actuator Demonstration