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                within the open call on “Molecular Biomedicine & Ageing”. As an IPP PhD student, you will join a community of exceptional scientists working on diverse topics ranging from how organisms age or how our DNA 
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                Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will 
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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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                ) • The successful candidate will have the opportunity to work towards a PhD Required qualifications: • Completed university degree (M.Sc. or comparable) in biology or a related field • Solid knowledge of molecular 
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                Description Founded in 1607, Justus Liebig University Giessen (JLU) is a distinguished research university. Driven by curiosity about the unknown, we enable around 25,000 students and 5,800 staff 
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                offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science and an interest in training 
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                Description In the Department of Mathemathics and Natural Sciences in the Group Technical Physics I at the Technische Universität Ilmenau (Germany) is a vacancy for a PhD Position (f/m/d) in Growth 
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                Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular 
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                Description Founded in 1607, Justus Liebig University Giessen (JLU) is a distinguished research university. Driven by curiosity about the unknown, we enable around 25,000 students and 5,800 staff 
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                Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will