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Arctic charr. About the position The work in the project includes the following tasks: Nucleic acid extraction and optimization of existing protocol Preparation of libraries for high-throughput sequencing
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); library prep and QC. Chromatin conformation (Hi‑C/Micro‑C) and analysis of TADs/compartments/loops. Computational genomics: co‑expression networks, comparative genomics/orthology, ML/DL for regulatory
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programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g. PyTorch, TensorFlow or similar). Experience with software/tool development for research, including good
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experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library preparation in
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at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous experiences with collaborative coding with GitHub Previous experience with cloud-based platforms About the
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for scientific applications. Also required is strong experience from employing specialized HPC libraries as well as developing scientific applications using languages such as C++ and Python. Also required is that
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antimetabolic strategies affect viral replication Identify novel antiviral compounds using AI modeling and chemical library screening Determine the prevalence of the virus in healthy individuals, tumor tissues
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library screening Determine the prevalence and activity of the virus in tumor tissues, blood samples, and healthy individuals Key Responsibilities: Perform cell and molecular biology and virology