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candidates to teach at the introductory, intermediate, and advanced levels, in both classroom and laboratory settings. We are seeking candidates who can demonstrate their experience in teaching or working with
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Researcher (R1) Positions PhD Positions Application Deadline 7 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 29.025 Offer Starting Date 1 Oct
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. This role will involve maintaining and further developing the datasets, focusing particularly on the creation and annotation of tissue microarrays for H&E, spatial transcriptomics and codex multiplex
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, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any
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Contact City Trondheim Website http://www.ntnu.no Street Høgskoleringen 1 Postal Code 7491 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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Publishing research findings in leading international journals and presenting at conferences Active involvement in teaching and lab duties outside of the project (~15-20% of working time) Profile PhD in
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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Plaza de Cruces Contact State/Province Bizkaia City Barakaldo Website https://bio-bizkaia.eus/eu/web/iis/bb/inicio Street Edif. Biobizkaia Plaza de Cruces Postal Code 48903 E-Mail rrhh@bio-bizkaia.eus
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(SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise