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Field
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complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control
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responding to antibiotics. The project will investigate how complex interactions of the drug with the cell's physiology results in non-genetic variation in single-cell growth and gene expression, leading
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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to
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integration, low-voltage distribution-network modelling, optimisation-based power flow analysis, and standards development, producing impactful publications, open-source code, and datasets. Supervision and
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to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes relevant
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working with large or complex datasets Interest or experience in regulatory science, pharmaceutical or health policy, clinical evidence evaluation, or the analysis of regulatory and clinical documents
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mechanisms underlying spinal cord injury and recovery. Operating within a highly collaborative and well-equipped environment, you will utilise advanced mouse models to solve complex biological questions
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international industry are offered. About the role We seek a highly motivated Postdoctoral Research Assistant/Fellow interested in the development of next generation diagnostic tools for the analysis of dementia
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at University of Basel is seeking a highly motivated postdoctoral research fellow to study neuro-immune interactions in cancer. The role of intra-tumoral neurons is complex and still not fully understood. While
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collaborative environment Experience with in vitro electrophysiology Experience with statistical analysis of electrophysiology data Desired Qualifications* Ability to work independently to oversee and run complex