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                Field
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                Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 7 days agowell as experience in computer vision and machine learning. Your tasks will be to: Develop and enhance capture systems which include creating the hardware system and study design. Data collection using the developed 
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                on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design 
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                (UTC) 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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                posting is subject to approval of the associated third-party funded project. Your tasks You will help modelling complex geochemical systems, which are typically limited by extremely high computational 
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                Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware 
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                , AI-enhanced simulations, and computational workflows to explore biological complexity and design solutions for a sustainable bioeconomy. The four PhD projects are: Further details on each project can 
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                out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for 
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                . The doctoral programme is designed with a multidisciplinary approach, which aims for excellent international applicants from diverse backgrounds. Course organisation During the first year, the programme lays 
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                Marie Skłodowska-Curie Actions Doctoral Network funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101226717. Work Location(s) Number of offers 
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                . Please find more information here: https://www.iri-thesys.org/research/ . Course organisation The THESys Graduate Programme is designed to enable a maximum of flexibility in order to serve the individual