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, creative, independent, and enthusiastic scientist to further our basic and translational studies of inflammatory bowel disease (IBD). We study disease-relevant cell and organ signaling pathways in IBD
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research. The ideal candidate will have experience in conducting and analyzing behavioral experiments, online experiments, physiological recordings, signal processing, statistical analyses, and computational
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are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or applied mathematics
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contributions to work in climate change, disasters, smart cities, risk regulation, water, human migration and land surface processes related to for example agriculture, forests and landscape fire. We are also
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novel proteins/antibodies and explore their biomedical applications. Our goal is to utilize these engineered proteins to precisely regulate intracellular signaling pathways, eventually translating
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
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made from magnetoelectric materials, which transduce wireless magnetic powering signals into local electric signals that can be used to stimulate neurons. Our multidisciplinary group works in materials
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, methodologies and tools. It collaborates in standardisation and training activities. The Division is also the focal point for the ESA Mission Classification scheme, and you will be asked to provide specific
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Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD
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Experience with signal processing, statistical data analysis, or machine learning techniques. Proficiency in scientific programming (e.g., Python, MATLAB, or similar). Ability to work independently while