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. The aim of the thesis is to fit a machine learning (ML)-based kinetic model of methanol synthesis to an extensive experimental data set. The necessary balance equations and a detailed physical model are
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more than 12 months in the 36 months immediately before the recruitment date. Nationality: Open to all nationalities. Doctoral Programme Enrolment: You must be willing to enrol in a doctoral programme at the
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments
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reports, and experiment protocols Working in a multicultural and interdisciplinary environment What you contribute Enrolled in a Master’s degree in Electrical Engineering, Physics, Photonics, Opto
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
state-of-the-art methods to achieve these goals – from behavioural research and neuroimaging to computational neuroscience and AI development. It is one of 84 institutes of the Max Planck Society, which
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) of Software Engineering and Artificial Intelligence at the Department of Computer Science and Artificial Intelligence. Interested? You can find the link to the application portal as well as more detailed
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management and computation Access to a network of national and international scientific partners in the field of research A collegial and open-minded working atmosphere in a dynamic research institution
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of test stands What you bring to the table Master studies in mechanical engineering, process engineering or comparable courses of study Previous knowledge of materials science and production engineering as
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analysis and publication of the results Maintenance and further development of the relevant equipment Requirements A PhD degree in Chemistry, Physics or Physical Chemistry, preferably with a specialization