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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that
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on the development of continuum and discrete, stochastic mechanical models of ordered cellular structures and understanding the role of order in pattern formation. The project is in close collaboration with
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Postdoctoral Scholar – Research Associate to join the laboratory of Dr. Yang Chai (https://chailab.usc.edu/ (opens in new window) ). The Chai Lab is interested in the regulation of developmental patterning
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skills and critical thinking. Experience working with cell culture, tissues and/or advanced experimental models of disease. Experience in relevant immunological, molecular and cellular techniques such as
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, or computational analysis of clinically annotated cancer datasets. Experience with multi-omics data integration, including DNA sequencing, bulk and single-cell RNA sequencing, spatial transcriptomics, methylation
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receptors for structure-based ligand design projects in order to develop prediction methods to identify new food-derived modulators of olfactory receptors and to capture the molecular bases of olfactory
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of resistance to targeting therapies (antibodies, and antibody-drug conjugates) integrating clinical data, 3D cancer cell models, high-throughput approaches and co-culture systems. The successful candidate will
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individuals and cell types, and define interactions between mitochondrial and nuclear genomes. Projects will involve developing and applying new technologies to measure mtDNA variation and dynamics, performing