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on the part of the assessment that relates to the applicant. You can read about the recruitment process at: https://employment.ku.dk/faculty/recruitment-process/ Please note that the applicant will be
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(HAIP; https://www.helsinki.fi/en/infrastructures/helsinki-vivo-animal-imaging ) as Diagnostic Imaging Service for Animals (DISA; https://www.helsinki.fi/en/infrastructures/helsinki-in-vivo-animal-imaging
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, such as AI-driven virtual cells (AIVC), while contributing to developing image-based biomarkers (digital pathology) and AI-based structural antibody design. For this task, a large data lake containing
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly
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of Excellence PoL (https://physics-of-life.tu-dresden.de/en ) is an interdisciplinary research center at TUD dedicated to quantitative biology and biophysics. It is funded by the German Research Foundation (DFG
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) Leading Researcher (R4) Positions PhD Positions Country Portugal Application Deadline 5 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded
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activities. The post holder will be appointed in the Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences (BMEIS), where their duties will include academic, clinical