62 phd-data-analytics-"https:"-"Dana-Farber-Cancer-Institute" PhD positions in Sweden
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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, VR, WASP, Google, Amazon, Facebook, and OpenAI, as well as the Chalmers PhD Supervisor of the Year award). Information about the department The Department of Computer Science and Engineering is a
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-resolution data to be collected continuously during real operating conditions, providing unprecedented insight into battery dynamics and degradation. The PhD student will develop models and diagnostic methods
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social scientific data with ecological analysis from the “Blue Leads Green ” project. About the position The PhD student will have the freedom to co-design their project that may explore questions related
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screening approaches. The PhD student will develop and apply analytical workflows to characterize complex food matrices. The project includes i) developing and optimizing screening workflows; ii) improving
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transdisciplinary research field that explores how technology can support health and sustainability through digitalisation, data-driven systems, and intelligent decision support. About the position This PhD position
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developing both computational and analytical skills Desirable qualifications: Experience with genomic or transcriptomic data analysis, especially of plant species Basic understanding of genomics, evolution
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curiosity, independence, and teamwork. More information about the division is available at: https://liu.se/en/organisation/liu/isy/rt . For more information about working at the Department of Electrical
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environment, it is important to address these problems from multiple angles. There is growing awareness of the potential usefulness of genetic data in forest management, but much is unknown about the genomics
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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills