385 programming-language-"University-of-Oslo" Postdoctoral positions in United Kingdom
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international publications in reputable conferences or journals. Excellent written and spoken English skills, demonstrated by high-quality academic writing and communication. The capacity to teach bachelor's
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skills and teaching evaluation Excellent scientific and technical wrting skills Knowledge of: relevant softwares. scientific databases Excellent knowledge of English (C1) / basic knowledge in German
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. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop the methodology and experimental
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Excellent knowledge of English (C1) Team player with strong social and communicative skills Interest in teaching What we offer: Work-life balance: you have flexible working times Inspiring team: you will be
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to underpin Salmonella pathogenesis. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop
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previous GEM initiatives, including the Inclusive Cities programme. You will have a passion both for academic research and for knowledge exchange with policy makers, NGOs, and other stakeholders and an
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well as instruction and day-to-day supervision of graduate students and others working on the project. About You You will have a doctoral degree in either Linguistics or Psychology (with a focus on language), a
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United Kingdom Application Deadline 31 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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renewable award. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of approaches including targeted genetic murine models, primary cell
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring