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to astrophysical flows (e.g., inversion methods, Bayesian/statistical inference, uncertainty quantification) Strong programming and data-analysis competence; ability to produce reproducible workflows. Experience
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experience of Bayesian adaptive trial platform designs. relevant to public health and clinical research Strong statistical programming skills, with expertise in at least two of the software packages SAS, R
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 hour ago
Sciences. The successful applicant will work with other Fellows from the Faculties of Computer Science and Medicine to meet the objectives of this fellowship program while engaging full- time in their own
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@astro.uio.no ) and Prof. Hans Kristian Eriksen (h.k.k.eriksen@astro.uio.no ). The main goal of this position is to implement a novel Bayesian re-analysis pipeline for Planck HFI in the Commander pipeline, and
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equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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of bioactive components on the gut microbiome and biofilms. The successful candidate will: Provide scientific and operational leadership for the project, including co‑developing study objectives, work plans
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Museum Objects and Reconciliation Ethics project (MORE) is funded by the Research Council of Norway
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settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project