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scholarship holder in the field of plasma chemistry and physics. Position You will work actively on the preparation and defence of a PhD thesis within the research group PLASMANT (Plasma Lab for Applications in
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include 1) a murine (diet-induced obesity) model, 2) acute and chronic exercise paradigms, 3) treatment with peripherally restricted enzyme-based eCB modulators, 4) multi-tissue molecular analyses and 5
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, Universidad Miguel Hernández-CSIC, Spain), are seeking a highly motivated PhD student to join a collaborative and interdisciplinary project investigating how food allergy affects gut-brain communication and
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short and long-read sequencing and transcriptomics, and iPSC-based disease modeling to better understand the genetic etiologies of intractable epilepsy. The team is part of the European STXBP1 consortium
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the preparation and defence of a PhD thesis in the field of Medical Sciences. More specific, you will work on the validation of predictive peptide biomarkers to classify non-small cell lung cancer (NSCLC) patients
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of History (with a focus on the early modern period). The PhD project (“Historicizing Healing”) investigates practices and concepts of healing in Western Europe in the early modern period, based on an analysis
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computational linguistics and automatic text modeling. You have an affinity with the research topic. You are interested in and/or have experience with scientific research and you are motivated to obtain a PhD
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of economics and development. Position You will work actively on the preparation and defence of a PhD thesis in the field of economics and development. The PhD project will use theory and survey experiments
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assays. Position You will work actively on the preparation and defence of a PhD thesis in the field of medical microbiology. You will be based in Antwerp and subscribed to the University of Antwerp as a
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talented PhD students to develop and benchmark cutting-edge super-resolution imaging technologies. The project aims to establish a comprehensive approach for ultra-high-content, multimodal imaging