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background in molecular biology and cell biology. Experience working with animal models. Demonstrated scientific curiosity, initiative, and commitment to research excellence. Ability to work independently
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or more of the following topics: Cultivation of microalgae for wastewater treatment Processing of microalgal biomass into high-value bioproducts Modeling of nutrient and energy flows in controlled
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. Building on this platform, we combine cell biology, biochemistry, CRISPR-based approaches, organelle isolation, metabolomics and proteomics, mouse genetics, and disease models to discover principles of ER
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Job description Offshore wind energy is expanding rapidly, with larger turbines, higher power densities, reduced spacing between wind farms, and deployment in deeper waters. These developments
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, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
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, brain organoids, genome editing, high-resolution imaging, single-cell sequencing, spatial transcriptomics, epigenomics, and proteomics, as well as a unique mouse model in which neural progenitors acquire
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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21 Jul 2026 Job Information Organisation/Company ICMAB Department Nanostructured Materials for Optoelectronics and Energy Harvesting Research Field Chemistry » Computational chemistry Researcher
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
; and be skilled in cell culture, microfluidic fabrication, modeling organ systems, characterization assays such as PCR, immunostaining, flow cytometry, ELISA etc. PREFERRED: Experience with stem cells
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are still not exploited to their full potential. The CROPWAVES project aims to contribute to better future food security by improving global-scale crop and climate models through the integration of satellite