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, interplay between delta subunit and sigma factors, interactions of a recently discovered transcription factor MoaB2 with mycobacterial sigma factors and RNA polymerases. Cryo-electron microscopy will be used
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, and in scientific publications. Qualifications Master’s degree (or equivalent) in biophysics, biochemistry, molecular biology, physics, or a related field. Strong interest in method development
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is funded under Marie Sklodowska-Curie actions (HORIZON-MSCA-2024-DN-01-01). The successful applicant will develop a novel method enabling the estimation of the permittivity within protein channel
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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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with structural biology, biochemistry and molecular biology methods is a strong plus as well as programming skills Strong English language skills – both spoken and written Nice-to-have: Experience with
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system compatibility, and using a wide range of structural and chemical analysis tools (XRD, AFM, TEM, STEM, XPS, EDX/EMPA) to characterize film crystallinity, interface quality, and elemental composition
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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