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to address key experimental and computational challenges currently limiting the clinical translation of spatial biology. By integrating multi-omics approaches, enabling the transition from 2D to 3D tissue
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of materials, designs and fabrication processes to simultaneously achieve low optical absorption and high Laser Induced Damage Threshold — an area where very limited scientific data currently exists at 1 and 2
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: https://www.microman4health.eu/ ). (Data-Centric MicroManufacturing Platform for Added Value in Health Sector). MicroMan4Health pioneers a data-centric micromanufacturing framework for added value in
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
the National Science Centre (NCN). Currently, IMol is seeking a candidate for the position of PhD student in Warsaw, Poland, to implement the project "Molecular Mechanism of CtBP corepressor activity
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, characterized not only by aggressive tumor cells but also by a complex tumor microenvironment comprising cancer-associated fibroblasts (CAFs) and tumor-associated macrophages (TAMs). Current liquid biopsy
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is mandatory for contract signature. More information can be obtained in: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition . II. Preferential Requirements Experience in working with GIS
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the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year
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). The studentships include a tuition fee waiver for UK fees only, an enhanced annual stipend currently set at £23,985 (10% above the standard UKRI rate), and an expenses allowance of £3,500 for training and research
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Measuring Uncertainty and Risk with Agentic AI for Decision-Oriented Modelling Apply for this job See
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and ML models support the coordinated operation of DERs and smart buildings in the context of limited data? How can AI and ML models increase distribution systems observability via surrogate models