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, and data analysis to define the role of key pathways underlying pituitary tumorigenesis and adrenal cancer growth and response to therapy. The position will also be involved in direct training and
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: Cambridge, Massachusetts 02138, United States of America Subject Areas: Statistics / Machine Learning , Data Science , Statistics Appl Deadline: none (posted 2026/03/16 04:00 AM UnitedKingdomTime) Position
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,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role: The lab of Don Ingber, M.D., Ph.D., Founding
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description will be developed in cooperation with the supervisor. Contact For further information about the position, please contact: Head of Department Stig Mathisen Phone: +47 476 00 220 Email: stig.mathisen
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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis
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documents: Cover letter detailing research interests and relevant experience. Curriculum Vitae (CV) with a full list of publications. Contact information for three references. For inquiries, please contact
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13 Apr 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Pharmacy Research Field Medical sciences » Medicine Pharmacological sciences » Pharmacy
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
the organization of workshops, writing deliverables, data management, and dissemination of project findings in general audience venues; Be affiliated with and take an active part in the research environment
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focuses on using data from a range of characterisation technologies to develop predictive insights into the metallurgical and geoenvironmental behaviour of orebodies. The Senior Research Fellow will further
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with your CV and cover letter explaining your suitability for the role. You are welcome to contact Prof. Angelica Ronald (a.ronald@surrey.ac.uk ) if you would like further information or to discuss the