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Field
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. The research directly relevant to the position sits within the group's wider work on higher-order Laplacian renormalisation, higher-order connectomics, and topological representations of complex systems. Prof
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histology, immunohistochemistry, in situ hybridization, organoid/tissue explant cultures, and live imaging. Analyze complex data, including bulk, single-cell, and spatial transcriptomics datasets. Present
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clinical research projects focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation
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volume and complexity of genomics projects. This position offers the opportunity to collaborate closely with both wet-lab and computational scientists, coordinate client-focused research projects
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multidisciplinary research initiative funded by the Research Council of Finland. Health Dimensions explores the complex, multidimensional nature of human health, with the aim to prevent chronic diseases and
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problem-solving skills with the ability to independently develop biological hypotheses from complex datasets. Strong organizational skills, attention to detail and excellent data management practices
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these professions. The successful applicant will have experience of contributing to complex research projects and skills in areas including literature searching and qualitative research methods. Experience
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 16 days ago
embedded. This includes the availability and choice of food, as well as the role of bonobos as both hunters and prey within this complex system. Line transect, camera trap, acoustic, and other survey data
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dynamics simulations and machine learning methods to study the structure and electrochemistry of disordered materials are also encouraged to apply. The project primarily aims to understand the complex
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in the analysis and interpretation of single-cell multi-omic data. This role will contribute to cutting-edge research by integrating statistical and computational approaches to address complex