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, Research Group Musculoskeletal Rehabilitation, we are looking for a part-time doctoral assistant, who will collaborate on a project concerning optimization of the guidance of young (elite) athletes
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under multiaxial torsion + tension/compression loading conditions, including: (1) Laser Powder Bed Fusion (LPBF) process investigation towards generic parameter optimization for various types of lattice
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these limitations and enable a superior imaging methodology. The work will focus on enhancing optical components, designing custom spectral filters, and optimizing illumination settings. You will take responsibility
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predictive microstructure imaging with MRI. Within the ADAMI project, you will develop and optimize an integrated image analysis pipeline to quantify the neural and glial cell composition of brain regions
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include nucleic acid extractions, Sanger sequencing, PCR assay optimization and RT-qPCR. This position offers the opportunity to work closely with a dynamic team of PhD students and postdoctoral researchers
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ERC-funded pioneering research line at the interface of neuroimmunology, stem cell biology, and neurodegeneration. Contribute to the setup and optimization of novel xenotransplantation models
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sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio platform supports a range of physical
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to optimize feasibility, usability, and acceptability in young cancer patients. By integrating real-time health data into personalized oncology care, this study aims to transform patient management, shifting
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often have high surface roughness and semi-attached particles, which is incompatible with a safe use of implants with optimal properties. In this PhD project, you will focus on three key objectives: (1
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proactive decision-making. Good understanding of mathematical optimization techniques for resource allocation and multi-objective trade-offs. Background knowledge in mobile and satellite networks, network