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should have a Ph.D. Degree and strong background and skills in molecular biology, cancer biology, and/or cancer immunology as evidenced by a publication record consistent with their career level. Highly
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well as collaboration with clinicians for human tissue studies. Profile Essential You have an international PhD in physiology, neuroscience, biomedical sciences, or related fields. You are an expert in molecular biology
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Leticia Hosta-Rigau at DTU Health Tech. The group works across materials science, organic/polymer chemistry, and molecular and cell biology. Our focus areas include drug delivery, cell mimicry, and tissue
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The Nima Sharifi Laboratory is seeking to recruit outstanding postdoctoral associates with aprimary interest in the fundamental mechanisms of human biology, biochemistry, metabolism, genetics
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programming in, for example, R or Python. Particularly valuable is a research background in ecology, biodiversity, systems biology, or related areas, as well as experience working with time-series data, dynamic
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we will benefit from
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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The Department of Biological and Chemical Engineering at Faculty of Technical Sciences at Aarhus University invites applications for a position at the intelligent Advanced Materials group led by
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combination of traditional molecular biology approaches and high-throughput technologies such as RNA-sequencing and NanoString CosMx technology. To ensure that the group is at the forefront of translational