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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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on the regulation of protein translation and stop codon readthrough (SCR). The primary objective is to identify/isolate trans-regulators that control SCR in a temporal and spatial manner. This will be done by
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one or more of the following areas is meriting: Bayesian statistics, mathematical modelling, probabilistic machine learning, deep learning, large language models. Rules governing PhD students are set
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investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral
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professional approach and analyze and work with complex issues. excellent command of English orally and in writing is required to publish in international journals. outstanding academic track record. skilled in
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cytometry. You have experience with phage display technology or similar combinatorial library technologies. You have an extensive track record of independent work. You have experience in the pharmaceutical
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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described. The project has three main objectives: (1) Use simulation models to make inferences on the role of sex ratio selection on sex chromosome evolution in a different meiotic drive scenarios, (2
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cell-cell interactions to disrupt cancer-promoting equilibria. We aim to develop in silico and in vitro models and tools to build and validate digital twins of such interactions, with the objective
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skills will focus primarily on merits within the subject area of the position. About the employment This position (in Swedish, “biträdande lektor”) is a tenure track position, and the qualification