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risk—paving the way for better-targeted prevention strategies. We have obtained funding for a 2-year full time post-doc position, starting date between February 2 (earliest) and May 4 (latest) 2026
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operationalizing next-generation LLM solutions that enable ING to streamline core processes, strengthen compliance, and scale agent-based AI systems. The position potentially targets at one of the following three
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of induced pluripotent stem cells (iPSC) of PD(D)/DLB patients to identify molecular profiles and drug targets. We will collect skin biopsies from PD patients of whom brain pathological confirmation is
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that enable ING to streamline core processes, strengthen compliance, and scale agent-based AI systems. The position potentially targets at one of the following three high-impact research streams: Quality
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cells and their tumor targets. To further advance the impact of these tools in the biological and clinical setting, this project will focus on increasing sensitivity of existing technologies to enable
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bioluminescent imaging with cutting-edge organ-on-chip models, the project aspires to enhance understanding of OA pathology and facilitate the development of targeted therapies. This approach not only aims
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) multi-omics analysis for the identification of therapeutic targets (biomarkers or druggable targets). The candidate will also develop and implement AI-driven tools to predict disease prognosis and
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/hybrid implementations of AI algorithms, novel quantum computing algorithms, etc.); conduct theoretical studies to identify target EO use cases that could benefit from (hybrid) quantum computing solutions
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
disease. Using unique bacterial isolates from colonic, ileal, and fecal samples of PD patients and matched controls, you will explore EV-microbiome interactions, focusing on bacterial gene targets, growth
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transcranial magnetic stimulation (TMS) towards the development of TUS protocols for modulating subcortical targets in humans. The goal is to leverage ’lessons learned’ from TMS/TMS-EEG/fMRI research such as