53 image-processing-postdoc PhD scholarships at University of Groningen in Netherlands
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for homeowners and potentially increasing awareness and willingness to take action. Combined with “connection workshops”, where households interpret thermal images with researchers and receive retrofit advice from
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interpret thermal images with researchers and receive retrofit advice from professionals, the project aims to also improve the ability of households to take action. By addressing barriers to retrofitting and
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://romeijn.web.rug.nl/paper/2023_romeijn_-_VICI_project_description.pdf ), where you can find a detailed list of planned PhD and postdoc positions. Candidates can freely choose their research topic within the domain
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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single mirror image forms is often denoted as “A Signature of Life”. Homochirality is essential for, e.g., molecular recognition and information processing, enzyme functioning and cell replication. However
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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on the legal challenges technical industry is encountering when adopting AI in its processes. The successful candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR
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, addressing issues that are essential to understand processes of communication in an increasingly mediatized society. Where to apply Website https://www.academictransfer.com/en/jobs/354428/phd-position-tracing
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related field. - A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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economic implications of AI adoption in the technical industry. This PhD position focuses on the legal challenges technical industry is encountering when adopting AI in its processes. The successful