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industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, preferably related to X-ray diffraction. The project
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should have a PhD degree in environmental or data sciences and a background in migration ecology and/or biodiversity. Strong quantitative and programming skills (e.g., in R) are required and previous
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(materials, energy, humans). The project will provide the bases to integrate and optimize carbon-negative technologies into planetary-scale systems. Your profile The applicants must hold a recent PhD degree
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or biogeochemistry. Your profile We are looking for a dynamic, reliable and motivated candidate with a PhD in biology, forestry, environmental sciences or related disciplines. Strong interest in process-oriented
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profile The applicants must hold a recent PhD degree, preferably in physics, chemical engineering, materials science, or mechanical engineering. Knowledge of the theory and demonstrated proficiency with QC
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hold a recent PhD degree, preferably in physics, system engineering, computer science, mathematics, or related disciplines. A strong background in computational science and good intuition for physical
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Postdoc position on ultra-long read sequencing for animal epigenomics, transcriptomics, and genomics
. Applicants should hold a PhD (or should be close to the completion of their PhD thesis) in disciplines that are related to the advertised position. The writing of scientific papers and participation in
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include international collaborations with academia and industry, mentoring MSc, and PhD students, and the potential for transitioning to work with our robotics industrial partner. Dr Diego Paez-Granados in
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the PI. Take the lead on work packages related to the candidate’s expertise. Mentor PhD students involved in the project. Limited contribution to education at the College of Management (to be discussed
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collaborations with academia and industry, mentoring MSc, and PhD students, and the potential for transitioning to work with our robotics industrial partner. Dr Diego Paez-Granados in collaboration with Prof