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to share the vacancy in your network! Want to know more? We’re happy to provide more information! Demi Peeters 📱 (088) 755 61 80 📧 Send an email Website for additional job details https
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& Decision Neuroscience Lab (https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision neuroscience
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Professor Jesper W. Schneider. The position will involve a combination of quantitative and qualitative research tasks, including bibliometric analysis, social network analysis, survey design and analysis
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, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR, Raman, XAS, SAXS, etc
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bioinformatic analysis of the resulting datasets. You will work to integrate proteomic data with orthogonal single-cell modalities including transcriptomics and imaging, and collaborate closely with clinical and
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broad European and international network through its collaboration schemes and open-science activities. Through its research, the ACT provides ESA with early scientific insight into emerging trends and
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on business recruitment, data collection and analysis (qualitative and quantitative). Supervising a graduate level research assistant to support data collection and co-supervising a PhD student to support trial
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for an engaged postdoctoral researcher, who is an expert in qualitative methods and that has an interest in cooperatives. The work will involve: Conducting qualitative comparative analysis (QCA) to examine factors
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an experienced clinical physiologist with substantial experience in neonatal EEG recording and analysis to join the dynamic project team. The Clinical Physiologist may be asked to support other EEG projects where
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malignancies, with the final aim of finding a cure for these diseases. It was created in 2010, and since then has experienced an exponential growth. The IJC is also part of the network of Excellence Research