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Field
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DFT modelling, are a plus. Project description and responsibilities The position entails the synthesis of new ruthenium-based photocages. You will be integrated in the MCBIM group (https
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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the absolute forefront of observing and modeling two of Greenland’s largest glaciers -- Jakobshavn Isbræ and the Northeast Greenland Ice stream (NEGIS). You will use GNSS data on ice surface and bedrock
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experts and stakeholders, presenting and modeling lesson plans via professional development workshops, and recording lesson plan development processes for grant reporting and public communications
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requires a dedicated individual with extensive previous research experience, in murine transgenic models and hematology. We are looking for a talented individual to carry out exciting studies in
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, or biophysics. Experience with experimental organic chemistry, NMR, kinetic modelling and/or cheminformatics are advantages. The candidate must be able to work independently, but also participate in
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underpinnings of chronic pain and the dynamics of host-microbiome interactions in health and disease. Methodologically, we combine molecular biology, biochemistry, pharmacology, preclinical mouse models and the
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models. This theoretical project will facilitate close collaboration with experimental groups and enable benchmarking of theoretical predictions. The PhD researcher will be part of the Correlated Quantum
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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following areas: Salmon ecology (including biophysical ecology, modeling, acoustic telemetry, and landscape and seascape ecology) Fisheries assessment (including habitat and groundfish ecology and assessment