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available from 1 September 2026 or later. You can submit your application via the link under 'how to apply'. Title PhD candidate in plant computational biology Research area and project description Applicants
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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PhD fellowship in Molecular Cell Biology PhD Project in the molecular cell biology of disease-linked gene variants Department of Biology Faculty of Science University of Copenhagen The Section
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17 Apr 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Finance Research Field Economics Researcher Profile First Stage Researcher (R1) Positions PhD
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experience are prerequisites. Experiences with archival fieldwork and/or public dissemination (e.g. podcast) is an advantage. Applicants, who wish further information about the position and the research
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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7 Apr 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Civil and Mechanical Engineering (DTU Construct) Research Field Engineering Computer science Researcher
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responds to climate change in the past and present to improve future predictions of sea-level rise and Earth system feedbacks. The work combines collection of field data, remote sensing, and modelling in
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: Strong competences within solid state physics, materials science, solid state chemistry or similar. Experience with experimental setups and laboratory work. Experience with data analysis performed using
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, the projects combine classical microbiology, microbial physiology, experimental evolution, and omics-based approaches to link microbial interactions and system performance across spatial and functional scales