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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human...
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Department of Ecology We are looking for a postdoc/researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoc
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Solna in Stockholm. In the Marklund lab (marklundlab.com ), we investigate how sequence information in biological macromolecules governs recognition, binding, and dynamical structure. We combine high
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on understanding the evolution of homoploid hybrid lineages. Work tasks We will focus on sequencing
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funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program will recruit 39 high-profile young Group Leaders and launch over
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. The Selected postdoc will be joining the Computational Microscopy for Cell Biology (CMCB) lab led by Dr. J. Griffié, which is primarily composed of engineers, physicists and mathematicians. The lab is based
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computational and data science capabilities in life science in Sweden. Through this program, you will also have access to extensive computational training and resources, including high-performance computing (HPC
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a