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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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working in High-Performance Computing (HPC) environments. Soft Skills: Proven track record of scientific publishing and the ability to mentor junior researchers (EngD/PhD students). Mindset: An analytical
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immediately) Supervisor(s): Prof. Tilman Grune / Prof. Christian Stoppe Enrolment in a Doctoral Program: German Institute of Human Nutrition / University of Potsdam Project description: This project aims
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provides high-performance GPU computing resources that support the design and training of advanced AI models. The research agenda of CVI2 focuses on cutting-edge topics such as 3D understanding and
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. The post holder will work closely with experimental scientists and clinical partners and will have access to high-performance computing facilities. About You The successful candidate should have a PhD (or be
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Physical Requirements*: Frequently stand
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/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of cybersecurity, human-computer
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. Develop skills in coupling crop and hydrology models at watershed scales. Gain experience validating models using large, multi-source datasets. Learn to apply high-performance computing and machine learning
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this 12-month postdoctoral project is to synthesize a