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Qualifications: PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. Experience with multi-modal learning across modalities
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PhD in photo media or a related field, possess a proven exhibition record, and show demonstrable expertise in both still and moving image production. Furthermore, practical experience in a professional
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professional setting. Candidates should have at least a Masters and/or PhD in Visual communication or related field with a track record of production and creative practice in media. Any past teaching experience
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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predictive modelling in biomedical, clinical, or bioinformatics contexts. A strong Computer Science foundation with experience or interest in biomedical applications and improving human health is essential
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year (renewable) Appointment Start Date: June 1, 2026 (flexible start date) Group or Departmental Website: https://butzindozier.com (link is external) How to Submit Application Materials: Please email
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the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-seismic-detection
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Master degree in Informatics Website for additional job details https://www.unimc.it/it/ateneo/bandi-e-concorsi/finaziamenti-ricerca/borseattiv… Work Location(s) Number of offers available1Company
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» Information technology Additional Information Eligibility criteria Master's degree in Informatics Website for additional job details https://www.unimc.it/it/ateneo/bandi-e-concorsi/finaziamenti-ricerca/borseattiv… Work
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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery