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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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provide co supervision of PhD/MSc students working on related topics For further information, please contact: Dr. Jorge Querol ( ) Your profile A PhD degree in Telecommunication Engineering, Electrical
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cardiac organoid technology (Hofbauer, Jahnel, Papai et al., 2021, Cell; Schmidt, Deyett, et al., 2023, Cell; Mendjan et al., 2025, Nature Reviews). Our main question is, how does the human heart grow? We
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
of the position. The position is placed in the highly interdisciplinary Advanced Instrumentation for Nano-Analytics group at LIST’s Scientific Instrumentation and Process Technology unit. During the past ten years
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Candidates must hold a PhD in Mathematical Engineering or Applied Mathematics (or equivalent) Candidates should have a solid background in numerical methods for differential equations, simulation of stochastic
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Are you motivated by unravelling how fundamental cellular processes are regulated? Do you want to pioneer the discovery and development of innovative tools and methodologies to decode poorly
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Postdoc position to support international research and capacity-building projects employing elect...
degree in geophysics, engineering, or a related field. Proven experience with EM data processing, inversion, and interpretation (e.g., TEM, AEM). Experience with geophysical inversion software, such as
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learning, where PhDs and postdocs receive comprehensive insights in the cellular processes underlying gene expression, as well as a clear view of their medical importance and potential for a future research
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such as potato and tomato, contributing broadly to more climate-resilient agriculture. Qualifications PhD degree in Plant Science or related discipline Expertise in gas exchange and chlorophyll fluorescence