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Field
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standard, including data collection, developing an analytical approach, coding, synthesis and interpretation Ability to work effectively within an interdisciplinary team environment Excellent interpersonal
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harmonisation, and model generalisability. • Maintain documentation, computational workflows, and reproducible code repositories. Project Management & Collaboration • Work collaboratively with clinicians, data
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|2026/859 under the scope of the Project IWGDM/CoUDLabs - funded by INESC ID, is now available under the following conditions: OBJECTIVES | FUNCTIONS 1. Data harmonisation framework: design and prototype
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, transcriptomics, antibody assays, and advanced 3D microscopy. For this, a lightsheet microscope dedicated to the imaging of cleared samples has been acquired, as well as a workstation for VR-assisted image analysis
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imaging; and preparing research reports, abstracts, and figures for presentations and publications. This role offers the opportunity to develop essential research and data management skills using real-world
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
to describe transitions between collective and singlecell invasion in confined and mechanically heterogeneous environments Calibrating and validating models using experimental data from imaging, biosensors, and
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part of the COP-PILOT project, a solution will be developed to streamline network management and orchestration tasks, incorporating LLMs as a method for implementing the intent-based management paradigm
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close connection with experimental data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and computational in nature and will include
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value. The project involves cancer cell culture, various molecular and cell biology techniques, chromatin analysis methods, and microscopy imaging. We use a broad range of molecular, cell biology and
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: www.fpmaragall.org and www.barcelonabeta.org Main Responsibilities The responsibilities for this position include: Develop and implement AI-based models for analyzing high-dimensional biological and imaging data