26 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"Robert-Gordon-University" Fellowship positions in Canada
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geological, mineralogical and hydrogeological information about copper ore deposits, and create conceptual models of ore-bodies, fluid flow and reactive transport. Familiarity with ore-body geology: Porphyry
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information about copper ore deposits, and create conceptual models of ore-bodies, fluid flow and reactive transport. Familiarity with ore-body geology: Porphyry deposits; Sediment-hosted copper deposits
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(CDF) are for applicants who hold a doctoral degree from a non-biological discipline (e.g. physics, chemistry, mathematics, engineering or computer sciences) and who have not worked in the life sciences
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digital platforms (such as computers, smartphones, tablets and wearables etc.) to improve the health and wellbeing of citizens. Data-Enabled Health Transformation - the creation, amalgamation, analysis, and
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response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a drive to explore new areas of inquiry critical
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’ sub-menu below. Further Information Enquiries about the Killam Postdoctoral Research Fellowship can be directed to killam.fellowships@ubc.ca
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the following tasks: Part A: Applicant Information Applicant Name Email Address PDF Appointment Start Date PDF Appointment End Date Department/Unit Supervisor/PI Name Supervisor/PI Email Address Part B: Funding
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and applied research in one or more of the following areas: collaborative robotics, manipulator robots, compliant robotics, human-robot interaction, computer vision, artificial audition, signal
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facilitate access to relevant data, contacts, and organizations. Through their mentors, Fellows are affiliated with an institution — whether a university, think tank, health care organization, or government
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enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a