12 molecular-dynamic-simulation Postdoctoral positions at University of Lund in Sweden
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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combination of field and laboratory studies, each using state-of-the-art thermophysiological measurements and associated molecular and quantitative assays at field sites across Europe. The position is suitable
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theory. Experience with field work and basic molecular lab work. Proven track-record in handling high-throughput DNA sequencing data and conducting bioinformatic analyses. A curious, collaborative and
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experts in protein design, biochemistry, and semiconductor physics across NanoLund and the Center for Molecular Protein Science (CMPS). You will be part of an ambitious and dynamic research team exploring
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Postdoctoral position in polymer technology focused on green polymer chemistry subject (PA2025/3322)
particular focus on sustainability-oriented development, including for instance molecular design and chemical synthesis, organic and inorganic material synthesis and characterization, as well as chemical and
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. Contribute to the design and continuous development of the testbed built in the project. Perform analytical and simulation-based evaluations of candidate algorithms and protocols for the testbed. Evaluate and
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should be written in English. As part of your application, you are to include: A CV and copy of the Ph.D. degree. A list of publications (including DOI, ISBN or ISSN numbers). A statement of no more
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project plan with a proposal for your own project. In addition to the research statement, you should attach: CV a copy of the Ph.D. certificate a copy of the Ph.D. thesis (electronically) a list of
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Patterns in Africa, 1850–1960. The project is funded by the Knut and Alice Wallenberg Foundation and will run until July 2028. It is led by Professor Jutta Bolt and aims to trace the historical dynamics
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radar altimetry data tracking surface water variations. AI models will be used to analyze complex surface water-groundwater feedback loops, simulate future scarcity under climate change, land use, and