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加入我们的机器学习支持的计算建模与仿真跨学科团队，位于曼彻斯特大学——多个博士后职位空缺
曼彻斯特大学是一所享有盛誉的机构，全球排名位于前50名，是著名的艾伦·图灵的学术之家。现邀请申请多个协调研究员职位。这些职位是克里斯塔贝尔·潘克赫斯特健康技术研究与创新研究所和数据科学与人工智能研究所的合作努力，两者都处于跨学科研究的前沿。
克里斯塔贝尔·潘克赫斯特健康技术研究与创新研究所致力于开创健康技术的先进发展。详细信息可在我们的网站上找到：The Christabel Pankhurst Institute.。
数据科学与人工智能研究所是数据科学和人工智能领域前沿研究的引领者。了解更多关于我们的工作，可访问数据科学与人工智能研究所，The Institute for Data Science and AI。
我们目前为对将机器学习、计算科学、数学、物理学、统计学和心血管科学融入研究生涯的热衷者提供非凡机会。
Position Highlights:：
2名多物理场驱动机器学习在心血管建模中的研究员
加入我们的跨学科团队，开发心血管流体动力学和装置-流体/装置-组织相互作用的高保真度模型。该角色需要专业技能，能够利用临床和实验数据，执行基于第一原理的物理学模拟，并应用科学机器学习方法。要求具备计算心血管力学、人工瓣膜或相关领域的博士学位。熟练掌握计算固体或流体力学，以及多物理场和多尺度模型的经验至关重要。详细信息和申请说明，请访问链接 Job Advertisement。
2名多模态基础模型与生成AI的研究员
我们寻求积极主动的研究人员，专注于基于图像的心血管流体动力学和装置-组织相互作用的多物理场建模。候选人将开创性地运用生成性人工智能和几何深度学习方法，创建合成虚拟患者群体。该角色要求候选人善于处理大规模多模态数据集，以革新体内试验。详细的工作描述，请访问链接 Job Advertisement.
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这些职位不仅是工作，更是通过先进的计算技术和人工智能为心血管科学作出重大贡献的途径。如果您具备相关技能和雄心，并希望塑造医疗技术研究的未来，我们将非常乐意考虑您的申请。
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Join Our ML-enabled Computational Modelling and Simulation Multidisciplinary Team at The University of Manchester – Several Post-doctoral Positions Available
The University of Manchester, a prestigious institution ranked among the top 50 universities globally and the academic home of the esteemed Alan Turing, invites applications for several Coordinated Research Associate Posts. These positions are a collaborative effort between The Christabel Pankhurst Institute for Health Technologies Research and Innovation and The Institute for Data Science and AI, both at the forefront of interdisciplinary research.
The Christabel Pankhurst Institute for Health Technologies Research and Innovation is dedicated to pioneering advancements in health technologies. Further information can be found on our website: The Christabel Pankhurst Institute.
The Institute for Data Science and AI is a beacon for cutting-edge research in data science and artificial intelligence. Learn more about our work at The Institute for Data Science and AI.
We are currently offering an extraordinary opportunity for individuals with a passion for integrating machine learning, computational science, mathematics, physics, statistics, and cardiovascular science into their research careers.
Position Highlights:
2 x Research Associate in Multiphysics-Informed Machine Learning for Cardiovascular Modelling
Join our multidisciplinary team to develop high-fidelity models of cardiovascular fluid dynamics and device-flow/device-tissue interactions. This role demands expertise in leveraging clinical and experimental data, executing first-principle physics-based simulations, and applying scientific machine-learning approaches. A PhD in computational cardiovascular mechanics, prosthetic valves, or a related field is required. Proficiency in computational solid or fluid mechanics and experience with multiphysics and multiscale models are crucial. For further details and application instructions, please visit Job Advertisement.
2 x Research Associate in Multimodal Foundation Models & Generative AI
We seek proactive researchers to focus on image-based multiphysics modelling of cardiovascular fluid dynamics and device-tissue interactions. Candidates will pioneer generative AI and geometric deep learning approaches to create synthetic virtual patient cohorts. This role requires individuals adept at manipulating large multimodal datasets to revolutionize in-silico trials. The detailed job description is available at Job Advertisement.
These positions are not merely jobs but pathways to making substantial contributions to cardiovascular science through advanced computational techniques and AI. If you have the skills and ambition to shape the future of medical technology research, we would be delighted to consider your application.
