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Field
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genetic architecture of complex traits and diseases. Key responsibilities for the postdoctoral associate position include data analysis, manuscript writing, research presentation at conferences, and
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analysis (e.g., R, Python, GraphPad) Research and Analytical Abilities: Experimental design and troubleshooting Complex problem solving and critical thinking Data interpretation and utilization Knowledge
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accurate electronic lab notebook. • Perform rigorous analysis and interpretation of complex datasets. • Prepare manuscripts for publication in high-quality, peer-reviewed journals. • Present research
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analysis, working under supervision to analyze data using established methods and assist in developing new analytical approaches for these imaging datasets. The Biostatistician will apply complex data
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algorithms, NLP models, and LLMs to analyze complex data. Designs and implements novel data science methodologies for predictive modeling, causal inference, and probabilistic analysis in clinical and
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transient cellular events into DNA and reads them out by sequencing. Computational challenges include detection of biological signals while applying Record-seq to complex in vivo environments (Schmidt
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commensurate with their essential status should be afforded, independent of the postdoc's source of funding. Responsibilities: Plan, design and execute complex research studies, procedures and protocols
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infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical analysis, and proficiency in statistical and computer modelling software (e.g. R
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or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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-resolution optical microscopy which enable a detailed analysis of these events, their sensitivity to biological and chemical interference, and will allow a rational optimization of specificity and affinity