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data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy
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the reconstruction of fungal secondary metabolite pathways in a plant host. The project is highly interdisciplinary and will require knowledge and experience of molecular biology, cell biology, and analytical
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, neural engineering, and data analytics. Among the key duties of this position are the following: Collecting behavioral and electrophysiological data in the clinical environment. Writing replicable code
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infrastructure, mobility, and energy management. Integrate real-time data from sensors and IoT devices to develop dynamic models. Model complex interactions between physical systems (infrastructure) and digital
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Offer description A post-doctoral position for 24 months is available immediately for an advanced scientist in data science and modeling at the Centre for Research and Innovation in Humans (CERIAH
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in both oral and written English is essential. Research experience with single-molecule methods, FRET, cryoEM, microfabrication, and/or data analytics is strongly preferred but not mandatory. Job
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generation sequencing data-analysis and ability to code are considered an advantage You are an accurate and precise worker and possess strong analytical problem-solving skills (creative, critical, thinking out
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. Applications must be submitted online at https://workforum.memphis.edu/ and include a cover letter, CV, two representative publications showcasing your writing or analytical skills, and contact information (not
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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
for publication in peer-reviewed journals, presenting data at conferences, and contributing to the success of the team. Required qualifications: • PhD degree in Plant Biochemistry, Analytical Chemistry, Plant
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related engineering fields. The candidate should have skills and experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation