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geophysical phenomena. A key strength of the project lies in its innovative application and development of partial differential equation (PDE) techniques, seamlessly integrated with statistical methods
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visual channels using traditional methods and educational tools, as well as electronic technology (e.g., video, audio, computers, etc.). Ability to effectively participate in professional team efforts
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
duration of 12 months. It’s expected to begin November 2025 and cannot be renewed. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
: The research fellowship will have the expected duration of 12 months. It’s expected to begin in November 2025 and cannot be renewed. It is mandatory to formalize applications with the submission of the following
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, or some other mutually agreeable date thereafter. Rank will be determined based on qualifications and experience. We welcome outstanding applicants developing novel methods in statistics, data science, machine
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testing to evaluate the entire gastro-intestinal tract (https://www.med.umich.edu/gi/patients/mpu.htm ). The GI Physiology Technologist provides GI diagnostic testing for a diverse patient population
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measuring station for the thermomechanical modification of plant-based materials. Preparation of samples for research analyses. These analyses will mainly involve instrumental methods (SEM/EDX, DSC) as
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achievements, • conducting scientific research using numerical tools and methods, linked to the planned teaching activities, • proficiency in tools such as Python, COMSOL, and CAD will be considered
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, or have formal teaching experiences at the university and have leadership experience in school Post-doctoral research experience, prior experience in conducting professional development courses
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, the Netherlands, Belgium, Germany, Switzerland and Austria). The aim of the network is to develop new and trustworthy AI methods for longitudinal neuroimage analysis, helping clinical experts assess temporal