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Field
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PhD in biology or related field. Strong background in movement/community/macroecological research. Proven publication record in respected international peer-reviewed journals. Strong analytical skills
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Informatics (BIOS), faculty, postdoctoral fellows, and students in the department apply analytic methods, statistical reasoning and information management techniques to the design and analysis of studies in
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. These properties make them excellent candidates for detecting various analytes in liquid media, including heavy metals, organic pollutants, biomolecules, and gases dissolved in water. The job vacancy involves
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Synthetic Biology, Molecular Plant Pathology, Comparative Genomics, Transposon Biology, Cell biology, or Related Field High level analytical capability Ability to communicate complex information clearly
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composition Present your results at international conferences and publish in peer-reviewed journals Your Profile: A Masters with subsequent PhD degree in chemistry, physics, environmental science, atmospheric
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of metabolic diseases. We employ untargeted and targeted metabolomic analysis and isotope tracing studies using newly vested in-house Thermo Exploris 480 LC/MS instrument. Along with this powerful analytical
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is
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will be responsible for spearheading the design and implementation of data analysis through open source or in-house developed pipelines, adapting and troubleshooting analytical methodology, and