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encoding of information, inspired by concepts from single-pixel imaging, and transposed to fluorescence microscopy through the use of structured illumination with variable frequency. The objective is to
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for a Postdoctoral Fellow in Biophysics Your tasks In this position, you will work at the interface of experimental biophysics, structural biology, artificial intelligence, and pharmaceutical formulation
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identifiable information, 2). create publishable maps of data locations, 3). organize data to the structure fitting of publication, and 4) contribute to publication documentation. We will provide any required
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Randomness and Structures; and Geometric analysis, stochastics and partial differential equations, interactions and applications. The starting date is flexible, preferably no later than September 2026
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, interpretation of results, and research design within the project team. Your competencies We are looking for a colleague with a strong interest in empirical social science research and a careful, structured
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identity and extracellular signaling, but how cell types, signaling mechanisms, and transcription factors jointly determine tissue structure is incompletely understood. The Koplev lab is recruiting
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
research task is to model semantic change and conceptual structure using Natural Language Processing. We will build customized NLP pipelines for premodern Greek and humanistic Latin, train and evaluate word
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and biodiversity for the future use and conservation of forests. More information: https://www.slu.se/en/wiforce . The work aims to generate new knowledge and contribute to the continued development
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The Pilgrim Group is seeking a highly motivated and talented researcher to join our team (https://www.thepilgrimgroup.co.uk/). This post is funded by Dr Ben Pilgrim’s Royal Society University
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https