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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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assemblies to determine how spatial organization, cell–material interactions, mechanics, and molecular communication shape emergent behavior. Possible project elements include: Mammalian cell culture and
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. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial heterogeneity and
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) undergraduate teaching laboratory's curriculum. As deep-learning methods proliferate in neuroanatomy, this role sets the standard for scientific rigor - building models that respect spatial provenance, anatomical
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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for a motivated PhD candidate, working in an industry-funded project, focused on exposing in vitro lung models to indoor air. The aim is to establish a co-culture-based lung model for exposing to indoor
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authenticity of visual media and provide understandable evidence for model decisions. The candidate will investigate how general-purpose pretrained visual and multimodal representations can be adapted
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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framework and model to anticipate the environmental criticality of raw materials, with specific focus on their extraction. This PhD will provide a thorough assessment of the environmental pressures induced by
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
studies with patient-derived models and clinically relevant preclinical systems, we seek to identify novel therapeutic vulnerabilities that can ultimately improve treatment options for patients with SCLC