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Ref no: ORU 2.1.1-05321/2025 Örebro University and the School of Science and Technology are looking for a doctoral student for the doctoral programme in Chemistry, concluding with a licentiate
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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Doctoral student in Materials Chemistry of Doped Organic Semiconductors in EU Training Network FADOS
Researcher (R1) Country Sweden Application Deadline 6 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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the role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program
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) Country Sweden Application Deadline 30 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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to biological questions related to protein mapping, classification, and alignment with the Human Protein Atlas data resources. The PhD projects are funded by the Alpha Cell Program, with the long-term ambition
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Computational Biology at Aramburu Lab for a temporary position for six months on full time. The position is expected to start on 1 October 2025 or by agreement. Project description We aim to discover and study
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School
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PhD position within the Infection Medicine Research Group The research group led by Professor Johan Malmström develops techniques in quantitative and structural mass spectrometry to analyze