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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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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
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate
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engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities support the laboratory by providing