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:100% of the full-time weekly hours Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs
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adults, characterised by severe genomic instability and a lack of targeted therapies. Using cutting-edge methods and unique primary patient-derived cell models, this project will seek to understand
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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Closing Date: 15 July 2025 Overview
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organization in Iron Age and Roman Portugal’, funded by the Cultuurfonds (Regato fund) and led by Prof. dr. Tesse Stek and Dr. Anita Casarotto. The Research Assistant's primary responsibility will be to support
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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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A PhD position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof. Narcis-Adrian
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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electron microscopy image simulations Development of a machine learning model capable of inferring 3D atomic structure from two-dimensional TEM projection images Application of the new approach
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Job Description A PhD position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof
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work with fish behavior, engineering geology, turbine design, variable speed operation, etc. It involves fundamental research including a literature study and CFD modelling with the use of real case