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the English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with
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/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements: university degree in chemistry or physics and
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feedback control, you will uncover fundamental connections between physical dynamics and neural network representations. We seek a highly motivated PhD candidate with an excellent master’s degree in physics
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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through the Initiative and Networking Fund of the Helmholtz Association. Admission: Each year 3-5 students are admitted to the school. The earliest date to start the PhD is in spring 2026. Application
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Financing yes Type of Position Full PhD Working Language English Required Degree Master Areas of study Theoretical Physics, Physics, Applied Mathematics Description Description The PhD students will engage in
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Apr 2026 Financing yes Type of Position Full PhD Working Language English Required Degree Master Areas of study Theoretical Physics, Physics, Applied Mathematics Description Description The PhD students
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an international team Strong written and spoken English language communication skills We offer you: An attractive and varied job in a future-oriented research institute A state-of-the-art infrastructure and the
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willingness to work in a team and to network with scientific institutes and industrial partners, as well as confidence in the use of standard MS programs and a good command of written and spoken English.
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer