36 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" positions at UNIMORE in Italy
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learning architectures, addressing both Parameter-Efficient Fine-Tuning (PEFT) regimes and full end-to-end fine-tuning workflows. Where to apply Website https://www.unimore.it/ Requirements Additional
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Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies of residence: OTHER
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, where possible,environmentally friendly treatment of the investigated samples, allowing accurate and precise analytical measurements to be carried out (omissis) Where to apply Website https
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https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies of residence: OTHER Eligibility
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and processing of results Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility
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isolator/damper Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country
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, through finite elasticity formulations with internal variables and pseudo-elastic models for the description of the Mullins effect Where to apply Website https://www.unimore.it/it Requirements Additional
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to develop a dedicated website and dedicated social media channels. Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination
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samples. They will also have to perform statistical analysis of preclinical data. Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible
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architectures for mobile applications, particularly agricultural ones: - Use of an experimental platform to create mission profiles similar to those of an agricultural machine in the field - Generation of virtual