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Field
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development of researchers who are transitioning from training environments in the physical, mathematical, computational sciences and/or engineering into postdoctoral work in the biological sciences, and who
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the other country. Awards are offered in partnership with Mitacs’s Canadian academic partners (and, in some cases, with Mitacs’s international partners) and are subject to available funding. Program Overview
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for Energy and Petroleum Studies (CEPETRO/UNICAMP), EPIC conducts research in oil production and reservoir management and characterization. EPIC invites researchers to apply for a selection process for a
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in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences. The Burroughs Wellcome Fund launched the Career Awards at the Scientific Interface
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- Employees are offered the opportunity to participate in physical exercise during working hours, as part of the company’s commitment to promoting health and well-being. How to applyWe ask interested candidates
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. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered
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exceptional cases, shorter periods may be acceptable. Application process AnapplicationmustcontainthefollowingdocumentsinEnglishorSwedish: A complete curriculum vitae, including date of the thesis defence
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. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
control of such systems, taking particularly into account model uncertainties as well as limitations pertaining to acquisition of data, communication, and computation. We apply our methods mainly to human