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the nonlinear regions of the genotype–phenotype map, while more recent empirical results indicate that it can remain constant over long evolutionary periods. This project will address this apparent contradiction
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in biomedical research and experience in application of image analysis in biomedicine; Experience of programming in Matlab, software version control with Git, typesetting with LaTeX; Experience with
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of novel computational methods and models, including extending methods already under development in the lab, with a particular focus on ways of exerting more precise control for protein design. In
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research, and communicate findings effectively. Experience with deep learning models or automatic differentiation. Familiarity with version control systems like GitHub. Our lab values diversity and inclusion
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about mental health. While having the security of this research community, as a PhD student you will have great control over your personal work schedule. Scientific Background: The industrial Steam
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of image analysis in medicine Experience of programming in Matlab, software version control with Git, typesetting with LaTeX, use of Linux computers Experience with graph-based methods, and graph
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methods based on optimal transport for addressing problems in signal processing, control theory, and inverse problems. The doctoral student project and the duties of the doctoral student By developing novel
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museum samples Proficiency in bash command line and Python/R Experience working with high-performance computing clusters Experience with molecular lab techniques (e.g., DNA extraction, DNA sequence library
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-genome DNA sequence data (Nanopore, PacBio, and/or Illumina) Experience with the generation and analysis of sequence data from museum samples Proficiency in bash command line and Python/R Experience