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-based genetic perturbations. Conduct phenotypic characterization using advanced live-imaging and quantitative image analysis. Generate and integrate molecular and metabolic datasets, including
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Commensurate with experience Type of Position Student Position Time Status Full-Time Required Education PhD Required Related Experience Experience in life science or related disciplines. Required License
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prior to its start Conduct data collection, data processing, and data analysis in collaboration with internal and external partners Provide practical supervision to bachelor’s and master’s students
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contribute to the preparation of reports, manuscripts, and other written outputs. Requirements for both posts are: PhD in Nutrition, Epidemiology, Statistics. Expertise in data analysis: nutritional biomarkers
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researcher to conduct research to support the development and delivery of sustainability and climate action curriculums and educational resources; and evaluate how cultural and creative interventions can
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commensurate with abilities and experience Type of Position Other Position Time Status Full-Time Required Education PhD in Engineering Required Related Experience see Skills / Knowledge / Abilities Required
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out research in line with the project plan. The successful candidate will conduct hands-on empirical research that embraces both experiments and modelling. Working closely with academic colleagues and
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Associate position offers an opportunity to conduct mentored pre-clinical basic science research in the endocrine research laboratory led by Dr. Rana Gupta, with a focus on diabetes, obesity, and tissue
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climate resilience of smallholder farming systems in Ethiopia and Kenya? Are you intrigued by understanding the drivers of scaling processes, and do you have interdisciplinary skills enabling you to conduct
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 8 days ago
how environmental transitions shape neural plasticity and behavioural individuality across mice and humans. The successful candidate will join a collaborative team spanning TUM, MPI‑BI (Martinsried