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Field
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working with remote sensing and AI-based data analysis; Scientific publication record; Willingness to work in a collaborative environment. Application Materials Application Process: Apply online at https
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logical choice for its staff and students. YOUR TASKS At least 70% of your assignment will be spent on academic research. You work closely with the team involved in the ERC project DAEDALOS (https
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the spatial aspects of socio-technical systems. Data science skills and an interest in spatial modeling are highly desirable. Experience with multi-disciplinary teams deploying mixed methods in complementary
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will focus specifically on investigating hillslope-riparian zone-stream connectivity at the reach-to-catchment scale for a better understanding and spatially distributed prediction of subsurface
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the impact of polyamines on macrophage phagocytosis and efferocytosis activity; 3) in vivo experiments testing therapeutic efficacy of polyamines; and 4) transcriptomic analyses (scRNA-seq and spatial) across
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Māori stakeholders Case study research with partner rūnanga Qualitative and systems-level analysis Quantitative surveys Spatial or economic analysis where appropriate, or in collaboration with team
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University Medical Center Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq, RNA seq, single cell sequencing, spatial transcriptomics
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evaluation, policy analysis, spatial analysis, and/or hazard assessment. Track record of scholarly and public outreach via academic publications and presentations in the fields of urban planning, sociology
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science platform and digital tools Assume responsibility over quality assurance of collected data, analysis and selective public accessibility of data sets Organise stakeholder workshops and participatory
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David Levinson , the successful candidate will contribute to the development of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making