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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Description The majority of hydrological models rely heavily on the principle of mass balance, often represented through Ordinary Differential Equations (ODEs). These models encapsulate
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projects that start off from the well-known and simple concept of amphiphilicity. We propose an innovative look at intermolecular interaction patterns that we foster and develop in research projects
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computer philology also belong to the program ALT. Thus, the program is characterized by a plurality of research methods and a wide understanding of the concept of ‘a text’. Applicants are expected to have
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Simulation and together with the other universities and chairs being part of the CRC. General Requirements: We are looking for first-class graduates with expertise in the CRC-addressed PhD subjects, high
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-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
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to act first and evaluate much later. This PhD project closes this gap by: integrating the porous-media solver of DuMux, the IWS-developed simulator, with its new shallow-water module recently created in
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the remediation of contaminated materials. In the first year, you will receive 50% of the TVöD salary. Depending on your work performance, your remuneration may increase to 75% in the second year and 100% in
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Germany. Application deadline: September 15, 2025 Start of funding: April 01, 2026 Workplace Type: onsite Job type: full-time Duration: 3 years. Qualification/Skills and Experience The NHR Graduate School
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scholarships only), printing allowance, study and research allowance, tuition fees. Selection The application must be made in two steps: First step, all applicants must submit a complete application for the