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at the intersection of robot learning, control, and AI for physical systems. The postdoc will work on projects focusing on one or more of the following: Robot Learning & Autonomy – Developing algorithms that allow
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Postdoc Positions Country Ireland Application Deadline 3 Apr 2026 - 12:00 (Europe/Dublin) Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research
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, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four strategic areas: cell and
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complex methodologies into actionable insights for technical and non-technical audiences. Proficiency in R for working with the project codebase. Desired qualifications Expertise with spatial, temporal
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors, and in vivo models. The successful fellow will also contribute to collaborative efforts
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analyzing telemetry and demographic data to assess movements, habitat use, seasonal survival, and nesting success of wild turkeys. The postdoc will also coordinate ongoing radio-telemetry fieldwork conducted
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Regenerative Medicine Postdoc Appointment Term: 1 year initially and renewable. Appointment Start Date: Immediately available but flexible Group or Departmental Website: http://www.liwanglab.org (link is
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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in
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nanofabrication, thermal imaging, and device integration. Steady-state photothermal measurements and spatially resolved thermal mapping will be used to probe local temperature profiles, alongside electromagnetic
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy