216 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions in Sweden
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pharmaceutical materials. In this postdoctoral project, chemically modified cellulose fibers and pharmaceutical formulations are the focus. The aim is to adapt and develop methods in solid-state DNP-NMR
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no more than three years prior to the application deadline*. A working knowledge of advanced methods in High-Energy physics, in particular quantum field theory and particle physics is required. Familiarity with
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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Programme? Not funded by a EU programme Reference Number 304--1-14183 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher
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2025 - 21:59 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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application: Experience with cryogenic methods, liquid phase electron microscopy, battery materials, and related sample preparation techniques is considered a merit. What you will do Develop and apply advanced
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Application Deadline 9 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 programme Reference Number 304--1
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Oct 2025 - 22:59 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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Deadline 17 Sep 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 programme Reference Number 1114--1-13517
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project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches