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: Writing and testing of code. Planning of research & discussing research with collaborators. Writing papers, and giving presentations. Qualifications: PhD in Chemistry Before applying, please note that to
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intersectional social positionalities (e.g., ability, age, ethnicity, gender, race, religion, and sexual orientation, for example). The successful candidate for the position will have: • A PhD completed
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 13 days ago
. The applicant must not have been employed at Lund University in the past two years. Practical knowledge in molecular biology experiments. A demonstrated track-record in handling genetic data, proteomics and
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. Co-supervise undergraduate and graduate students in the Brown Lab. Support teaching activities in Physiology 560 – Light Microscopy for the Life Sciences Qualifications: PhD in preferred areas
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Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where
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the materials science and manufacturing related to steel. The postdoc should have experience in the physics of materials and advanced computing. Qualifications: PhD in related field Annual Salary: $63,500.00
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of junior students Writing papers Composing and writing research proposals Speaking at international conferences Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University
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students - Report and manuscript writing - Conference presentations Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in
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: - Conduct advanced computational research. - Write and publish scientific articles. - Present work at conferences. - Participate in group meetings. - Contribute to publications. Qualifications: PhD in
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integration under the D2R umbrella. This project will develop the postdoc’s expertise in applied AI/data workflows, interdisciplinary collaboration, reproducible science, experimental planning, project