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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
of gene regulation and their dysregulation in cancer. Our research seeks to understand how the spatial organization of transcriptional regulators shapes gene expression and cell identity. Project
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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
of Bath and the soft X-ray imaging beamline, I08 SXM, at Diamond Light Source, giving you hands-on experience in material synthesis, carbon capture testing, and spatially-resolved X-ray imaging. Together
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, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision
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, methylation, whole genome sequencing and single nucleotide polymorphism (SNP) and spatial data. This cancer is a rare disease that has not yet been documented and we believe that these data will be a major
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modelling to improve our understanding of radionuclide behaviour under relevant environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https
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, whether building on established families such as LDPC, polar, and spatially-coupled codes or inventing entirely new ones. A key application of your work will be information reconciliation for quantum key
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
simulations are a key tool for testing scientific hypotheses and predicting the evolution of these systems. However, their computational cost remains prohibitive, particularly at large spatial and temporal
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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assemblies to determine how spatial organization, cell–material interactions, mechanics, and molecular communication shape emergent behavior. Possible project elements include: Mammalian cell culture and