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industry Please submit the following application materials: Cover letter describing research interests and career goals. Current CV including publication list. Contact information for three professional
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of the search process will be requested to provide a list of names and contact information for references. Incomplete application materials cannot be considered. Materials received after the initial review date
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VSM, XRD, XPS measurements on selected advanced materials and to analyze the data using simulations if possible. To write papers for publication in peer reviewed journals To present his/her results
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the qualifications of the selected candidate, departmental budget, internal salary equity considerations, and available market information. Minimum Qualifications Completed a PhD degree (U.S. or foreign
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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researchers at Princeton and other institutions, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with
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data; organize and archive data, consent forms, and ethics paperwork in line with project and KCL policies; and deliver periodic presentations and written fieldwork reports to the Principal Investigator
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all your materials in English in one PDF file. The file must include: Application (cover letter) CV including contact information for at least two references Academic Diplomas (MSc/PhD – in English
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(PDF format): Cover Letter – Describe your research interests and alignment with data-driven decarbonization of mining equipment. Curriculum Vitae – Include publication list. Reference Contacts – Names
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to Apply Please submit the following (PDF format): Cover Letter (1–2 pages) outlining your fit for data-driven decarbonization of mining fleets. Curriculum Vitae, with a list of publications. References