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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 6 hours ago
, endocrinology, or related research areas. Experience with one or more relevant approaches, such as transcriptomics, proteomics, metabolomics, single-cell analysis, network biology, comparative genomics, biomarker
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to identify the physical principles and cell biological mechanisms underlying the continuum properties of living matter. We are an interdisciplinary group and welcome researchers from diverse backgrounds
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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at least one of the following thematic areas (expertise in multiple is a plus, but not required): Multi-omics & Single-cell Analysis: Processing and interpretation of multi-omics and single-cell datasets
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and rheological measurements. • Develop and implement workflows for the isolation and characterization of melanoma cell subpopulations associated with distinct phenotypic states (e.g., migratory and
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in Photovoltaic Engineering, Materials Engineering
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; cloning; microdissection, especially of insect female reproductive organs; statistical analyses; single-cell RNA sequencing and transcriptome analysis; genetic mapping including QTL, GWAS, or PhyloG2P
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motivated, creative and interactive applicants with the ability to work independently. Preference will be given to applicants with a strong background in mouse developmental biology and/or cellular signaling
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/Fellow to undertake applied research related to the design and optimization of fuel-cell-based electric vertical take-off and landing uncrewed aerial systems for medical deliveries. Reporting to ARC Future