140 computational-physics-"https:"-"https:"-"https:" Postdoctoral positions at Nature Careers
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engage with collaborators across Belgian universities. Profile Education: PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. Programming
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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combining LLMs, molecular measurements, and multi-scale imaging. Your profile PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis
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Work group: Institute of Materials Physics Area of research: Scientific / postdoctoral posts Starting date: 23.12.2025 Job description: PostDoc at the P05 Nano-Tomography Endstation Job ID: 940
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experience using and developing measurements and models to develop process-based understanding of greenhouse gas emissions like methane at field scales, and linking these to key environmental drivers
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natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top
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leftward flow in the left–right organizer (LRO), but the identity and mechanism of the flow-transported symmetry-breaking cue has long remained elusive. Defects in this process are a major cause of
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional