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(chaired by Prof. Niklas Wahlberg, Lund University, Sweden; https://10klepgenomes.eu/ ) and close collaborators in this project include Prof. Mark Blaxter and Dr. Joana Meier (Wellcome Sanger Institute, UK
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-on training and mobility will be available. Our research team is part of the 10kLepGenomes COST Action (chaired by Prof. Niklas Wahlberg, Lund University, Sweden; https://10klepgenomes.eu/ ) and close
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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical
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studies. Experience with protein structure predictions methods and co-folding methods (i.e. AlphaFold or Boltz models). Strong software development skills in Python, including software package development
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spectroscopy and scattering methods. The primary aim is to elucidate the structural and dynamical properties of lipids in asymmetric membranes, particularly their interactions with integral membrane proteins