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design of compliant robotic structures Strong understanding of research methodologies, data analysis, and statistical techniques Ability to work both independently and collaboratively within a team
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in Health Research Methods, Epidemiology, Computer Science, or a related field. Expertise in evidence synthesis and clinical guideline methodology such as network meta-analysis, GRADE. Experience with
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research findings clearly. Design and conduct experiments, analyze data, and draw meaningful conclusions. Work with data analysis software, programming languages, and simulation tools. Oversee the transition
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roles: Developing statistical analysis plans and implementing analysis Leading and contributing to the writing of research protocols, ethics applications, and publications in peer-reviewed journals
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, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis Key Competencies and Requirements: PhD in Computational Biology
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data and electronic health records Contributing to phenotype development based on high dimensional and free text data leveraging advanced methods such as large language models. Analysis
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Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, data-driven and machine learning/analysis, esp in climate related topics. Prior
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key role which will build PPIE capacity in OPEN and the LKCMedicine community. Key Responsibilities: Contribute to PPIE facilitation, design, data collection, analysis and interpretation of quantitative
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willing to work in our team and help with essential lab duties. The candidate must have experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian