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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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impact on functionalities and user control over financial and payment data. The candidate will perform the following tasks: Carry out interdisciplinary research in digital identity (wallets) and digital
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different stages of the cell cycle (Vukašinović and Hsu et al., 2025, Cell). We are looking for a motivated PhD student to investigate how hormonal signals are integrated and coordinated to control the plant
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accessibility and gene expression data for all major cell types forming the peripheral nerve environment (as well as controls), generated from the patient-derived iPSCs and integrate these data into the cis
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, and interdisciplinary methods. You possess excellent academic writing and presentation skills, and a very good command of English (written and spoken). You live in Belgium or are willing to relocate
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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gap by (a) implementing a large randomized controlled trial, and (b) involving stakeholders (adolescents, teachers, parents, organizations) via focus group interviews. In a first phase, we will collect
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disciplines: computer science/engineering or biomedical engineering. You have an excellent academic record of accomplishment. In particular, you have a good command of, and a strong interest in, computer
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for a m/f/x PhD Student – Subject: Quality Issues in cell and gene therapies YOUR JOB Development and validation of quality control assays for ATMP characterisation Design, optimization and validation
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management of PXE focusses on symptom control and prevention as no treatment is available. This research project aims to evaluate the efficacy of genome-guided therapy in ectopic calcification, common in