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Field
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application with Mrs Veronique Martin-Lang, Chief Engineer Data Science and Analytics, and Mrs. Eman Ahmed and Mrs Maja Adzaga, Data Scientists and Marcel Wirtz ,R&D Grant and Partnership Manager, all four from
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postdoctoral researcher who would further develop their skills in the acquisition and interpretation of isotope data and advance their leadership and management experience. The candidate is expected to: • Apply
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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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closely with our faculty to implement simulated results in the clinic and develop novel treatment methods. 3-Data Management & Analysis Manages and analyzes vast datasets related to radiation treatments
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analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets
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Presentation skills Analytical skills Attention to detail Responsibilities Research: Under general supervision, is responsible for conducting research into their field of expertise. Utilizes knowledge and skills
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sampling, analytical methods such as GC-MS, LC-MS, or other relevant instrumentation. Experience in olfactory system research is highly desirable. Background in experimental design, data analysis
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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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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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. Candidates must be able to independently plan, multi-task and complete projects. Ideally, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant