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themselves to find the best solutions for our patients. The AbbVie Postdoctoral Program is one way we are doing just that. AbbVie Postdoctoral Fellows serve as technical experts who investigate, develop, and
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. The position is part of COSENSE-2: The Mona Lisa Project, an ambitious program that aims to reinvent therapy selection for metastatic colon cancer using patient-derived mini-tumours (tumouroids), high-content
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development with a cellular resolution and at the genome scale. Specifically, efforts using systematic CRISPR/Cas9-mediated mutagenesis, high-content imaging, data science and computational modelling are used
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
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microscopy. This position will operate as a core part of a larger AI-robotic materials discovery program at TMI that couples liquid-phase synthesis, high-throughput sample processing, and autonomous
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single cell sequencing data and high-performance computing environment is highly preferred. A good understanding of cancer biology, immunology, cell biology, and molecular biology is also preferred. Proven
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/science/our-labs/herman-fung-lab). Qualified applicants will have experience in cell, structural or computational biology and a passion for applying and/or developing diverse tools for understanding gene
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Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Tampere University and Tampere University of Applied Sciences create a unique
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responsibilities will include: Conduct High-Quality Research: Perform complex data analysis, potentially involving advanced statistical approaches, to contribute to the research team's efforts. Publish Scholarly
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scientific conferences and publish models and scientific insights in high-impact journals Who You Are: Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field