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Field
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
Ocean: Ecosystems, sustainability and competing interests at the edge of the world" covering natural and social science perspectives, that will cohere around the ‘dilemma’ facing the Southern Ocean: how
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at relevant international conferences;Contribute to grant writing and research proposals, as well as participate in other projects where the senior researchers are involved;Mentor graduate students (MSc and PhD
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for excellence . Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and
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format: Motivated letter of application (max. one page). CV incl. education, experience, language skills, publication list and other skills relevant for the position. PhD and Master diplomas and transcript
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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are substantial foundations in all activities at Chalmers. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note
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for postdoctoral researchers is provided through the Office of Postdoctoral Affairs, Career Center, Teaching Center, and campus groups. Applicants should be recent PhD graduates in Neuroscience or related fields
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments