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Field
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cooperate with the PhD student at TU Dresden to link the modelling of glacial-isostatic adjustment (GIA) with the interpretation of geodetic GNSS measurements. You will focus your work on the numerical
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Infrastructure? No Offer Description Work group: IBI-3 - Bioelektronik Area of research: Promotion Job description: Your Job: The PhD candidate will be in charge of: The development of photopolymerizable hydrogel
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degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural
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Description At the University of Göttingen -Public Law Foundation-, Graduiertenkolleg Fourieranalysis und Spektraltheorie, there are 2 positions as PhD candidate/Doctoral researcher (all genders
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High
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master’s degree or diploma in physics, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent
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, engineering, mathematics or a related field of study Huge interest in data science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
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the Applied and Computational Mathematics group. His research focuses on time integration methods for all types of (coupled) dynamical systems, with a focus on port-Hamiltonian ODEs, DAEs and PDEs with