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(wet-lab & computational) PhD student to work on a Project focused on Understanding the Role of RNAs in Alzheimer's Disease Pathology. In this project, the selected PhD candidate will combine
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of the PhD project and enroll in ULB's doctoral programme, where they will receive advanced research training and professional development opportunities. Excellent command of English, both written and spoken
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network discovery and individualized circuit targeting, multimodal concurrent brain stimulation-recording, and computational modeling. We bridge invasive approaches, including intracranial electrical
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 4 hours ago
achieve your training and research goals? Do you want to bridge science and innovation, gaining entrepreneurship skills to translate breakthroughs into tools, therapies, or startups? The next PhD Program
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. Two PhD studentships are available to address one or more of the following scientific challenges: 1. Mechanical Integration Structural and functional integration requires the development of novel
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5 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics Researcher
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ambitious PhD candidate to join the Efremov Lab at the VIB Center for Structural Biology (VIB-CSB) as part of the newly funded Marie Skłodowska-Curie Doctoral Network ANA-KIN. This position offers a unique
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microenvironment, and which states ultimately suppress or promote tumour development. The PhD project will investigate the molecular and epigenetic mechanisms underlying transitions between preneoplastic cell states
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computational fluid dynamics (CFD) simulations of blood flow through arteries and develop a cutting-edge super-resolution framework using convolutional neural networks (CNNs). The ultimate goal is to vastly
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient