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-world buildings, data analysis, and modeling. Candidates with complementary expertise who are interested in developing new research directions within the broader field of indoor air quality are also
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LC-MS/MS method for their analysis in different matrices. The method is further developed by including other fermentation-derived metabolites and is used for analysis of thousands of samples in
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rejection, source localisation, time-frequency decomposition, and multivariate pattern analysis. Develop and apply quantitative analysis pipelines in MATLAB, incorporating dimensionality reduction (PCA, UMAP
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recordings, experience with neuromodulation or pain research, and proficiency with imaging or data-analysis software. Strong communication skills, the ability to work independently and collaboratively
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and biophysics, good computer programming skills, and working knowledge of UNIX, phyton, and shell scripting is highly desired. Experience in molecular simulation softwares and analysis tools such as
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data analysis, and authorship of empirical and theoretical manuscripts. The successful candidate will be motivated, pro-active, resourceful, and detail-oriented, combining clinical warmth with
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objectives. Prepare final drafts of research manuscripts for submission to peer-reviewed journals. Required Minimum Qualifications: PhD in Plant Breeding Experience in design and analysis of field experiments
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background in experimental design, data analysis, and scientific writing. Proficiency in statistical software (e.g., R, SPSS, Python) and survey tools (e.g., Qualtrics). Ability to work independently and
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cytometry, and microscopy are encouraged to apply. Additionally, previous experience analyzing transcriptomic data is an advantage, as the dry lab (e.g., single cell RNA-sequencing dataset analysis) informs
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research areas include receptor-ligand interactions, receptor kinase activation and phosphorylation, protein-protein interactions, calcium and other early immune signaling events, genetic analysis of immune