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network theories in research, involvement in marketing campaigns, ability to apply economic theory to art and culture, and/or experience of taking creative approaches to research dissemination would all
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-ddi.alzheimersresearchuk.org/ ), is seeking a postdoctoral Research Associate with a strong background in mechanistic biology to join its established team. The ADDI is part of a network of world-class Drug Discovery Institutes
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foundations for future clinical studies. You will design and run EEG experiments, integrate stimulation and recording hardware, and lead analysis of behavioural and EEG data. You should have: ¿ A PhD (or
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sheet microscopy and data analysis, miniendoscopes application in a behaving mouse, network analysis would be a key asset; Strong interest in the brain research; Proficiency in English; Exceptional
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workforce demands and develop networks to ensure a constant flow of qualified candidates using various tools (e.g., social media, career fairs, agencies, recruiting vendors). Attend talent strategy meetings
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networks, we strive to translate biological discoveries into applications that enable the early detection of deviations from health, personalize treatment, and ultimately prevent disease. First founded in
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. Our lab fosters a collaborative and productive environment, and we actively support postdocs in building their independent academic networks, generating high-quality research publications, and securing
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. Our lab fosters a collaborative and productive environment, and we actively support postdocs in building their independent academic networks, generating high-quality research publications, and securing
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stakeholder analysis, using methods such as literature review, qualitative interviews, and network analysis to identify key actors, trust flows, and governance dynamics. Building on these insights and those
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
insights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations—including intragenic rearrangements (IGRs)—across cancer types and modeling