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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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the following qualifications: PhD in a relevant research area (e.g. Physiology, Molecular Biology). Highly motivated, proactive and diligent. Ability to work independently and in a team. Experience
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strive for all PhD students to get a solid international experience during their PhD. About the DDLS Fellows program The PhD position is part of the national research programme DDLS. Data-driven life
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collaborative skills, drive, and independence. Additional qualifications Meriting are: Interest in biomedical research and experience in application of image analysis in medicine; Experience of software version
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, DNA–protein conjugation, cell culture, high-throughput sequencing and bioinformatics. During the doctoral education the student will design and run experiments, analyse and interpret data. We value
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experience in population genomic modeling (e.g., using SLiM), analysis of structral variants from long‑read data, population genomic analysis of whole‑genome re-sequencing data are a merit — these techniques
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, and experience of working at the interface between fundamental research and therapeutic innovation. Project description Project title: “RIBO-LINC: Linking data-driven solutions and RNA innovation
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biological datasets. Experience with proteomics, mass spectrometry, protein structure analysis, molecular dynamics, deep learning, or bioinformatics is advantageous but not required. Experience with data
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, the University of Melbourne, and the University of California, Los Angeles. We strive for all PhD students to get a solid international experience during their PhD. About the DDLS Fellows program The PhD position