10 computational-physics "https:" "https:" "https:" "https:" "Dr" Postgraduate scholarships
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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candidate may attach a declaration of honour stating that he/she meets the requirement for enrolment in the doctoral programme. Where to apply Website https://sigarra.up.pt/fmup/pt/noticias_geral.ver_noticia
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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international conferences Supervise student theses Your Profile: Excellent Master`s degree with a strong academic background in computational engineering, mathematics, computer science, physics, engineering or a
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description BI_AMNIOSMART_Fevereiro2026 A call for
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candidate will work under the primary supervision of Dr Kamran Pedram at the Centre for Sustainable Cyber Security (CS2) (https://www.gre.ac.uk/research/groups/sustainable-cyber-security-cs2 ). The University