Postdoc of Computational Protein Biophysics Department of Biology Faculty of Science University of Copenhagen The Lindorff-Larsen group at the Linderstrm-Lang Centre for Protein Science Department of Biology Faculty of Science University of Copenhagen Denmark invites applicants for a postdoctoral position in computational protein biophysics.The position is part of the ERC Synergy project DynaPLIX (Dynamics of ProteinLigand Interactions) that aims to combine molecular dynamics simulations NMR spectroscopy and time-resolved crystallography to quantify the dynamical pathways of how ligands bind to proteins.

Working with Us Challenging.Meaningful.

Working with Us Challenging.Meaningful.

Do you want to contribute to cutting-edge research in medical AI, bioinformatics and computational medicine? Are you interested in machine learning applications in precision medicine, clinical genomics and disease research? Do you enjoy a casual work environment where learning and development are encouraged? Are you interested in learning and applying new technologies? If so, the Centre for Computational Medicine, a core facility within the world-renowned Hospital for Sick Children Research Institute is interested in hiring you.

Participates in the development of novel software solutions, as directed by the Assistant Bioinformatics Coordinator or Clinical Bioinformatics Coordinator.

The candidate should have a good understanding and hands-on experience omics data integration, mathematical modelling, network construction and Big data

The Data Science platform at CZ Biohub SF (https://www.czbiohub.org/data-science/) is seeking an Associate Bioinformatics Scientist / Computational Biologist to join a fantastic team of computational biologists and data scientists.

The Health Intervention and Policy Evaluation Research (HIPER) team in the Saw Swee Hock School of Public Health, NUS is seeking a Research Associate/Fellow to undertake a research project in antimicrobial resistance modelling.

Experience in a related field: Applicants should have prior experience in one or more of the following fields: bioinformatics, genetics, computer science, or biological science;

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA folding and structure prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy.

We are seeking a Postdoctoral Research Associate who will support the Computational and Predictive Biology Group in the Biosciences Division (BSD), Biological and Environmental Systems Sciences (BESSD) at Oak Ridge National Laboratory (ORNL).

Successful candidates will join a research program which focuses on mechanistically understanding the effects of human genetic variation (such as that identified by GWAS) on cardiovascular phenotypes. To reach these goals, we travel a research path that requires the coordination and collaboration of both laboratory and computational team members

Working with Us Challenging.Meaningful.

Working with Us Challenging.Meaningful.

Working with Us Challenging.Meaningful.

The ideal candidate will have a deep knowledge and experience in both machine learning and RNA Biology (structure, stability, translation) and a high degree of proficiency in Python (scientific programming), machine learning libraries, bioinformatics tools, and cloud computing and be responsible for developing machine learning and complex analytical workflows to support the selection, design and optimization of siRNA sequences and siRNA formulations.

The position also requires close collaboration with our data science and machine learning colleagues across the global sites of the ‘Digital Science & Innovation’ area as well as to contribute to the onboarding and development of new computational drug design methods.

We are seeking an experienced B.S./M.S. Computational Biologist to help in our drug discovery efforts. This is a hands-on, full-time, research position that requires strong expertise in computational biology.

The Computational Biologist performs bioinformatics analyses and contributes to software development related to the operation of a large-scale clinical sequencing facility.

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