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propose collecting data from LGBTQI+ and non-LGBTQI+ students and the university environments to fill this gap. Requirements Additional Information Eligibility criteria Eligible destination country/ies
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, financed by the European Union – NextGenerationEU” RMT – Flagship 1 Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in Energy and Environment Specific
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project focuses on the museum environment and intends to test visitors' reactions during the visit at both neurophysiological and cognitive levels. The Cultural heritage can foster human growth, in
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scientific environment. Outstanding facilities Candidates should apply by completing the form in the link below and attaching a complete CV and a motivation letter. Application form: https://www.nanogune.eu/en
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learning frameworks such as PyTorch. Collaborate closely with industry partners, including NVIDIA, to leverage expertise and resources in SmartNIC and DPU technologies. Research Environment: This research
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and graph data analysis. Proficiency in Python is mandatory. Familiarity with the Linux operating system and with common programming tools and environments (Git, SSH, Anaconda, VSCode/Pycharm, etc…) is
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biological-environmental and historical-cultural context will be developed. To this end, a spatial classification scheme will be developed for the entire study area that includes physical, historical-cultural
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programming tools and environments (Git, SSH, Anaconda, VSCode/Pycharm, etc…) is also required. A solid understanding of deep learning and experience with Pytorch and common data analysis libraries such as
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system and with common programming tools and environments (Git, SSH, Anaconda, VSCode/Pycharm, etc…) is also required. A solid understanding of deep learning and experience with Pytorch and common data
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environment. - Experience with microfluidics, bioprinting, and/or related microfabrication techniques is a plus. - Knowledge of cardiac and cancer biology is a plus. - Prior experience in either cell culture