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Field
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will primarily focus on utilizing and advancing capabilities with the laser heating system at beamline 16-ID-B, complemented by monochromatic and white-beam Laue multi-grain measurements at 16-BM-D
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
functional approaches to map how leukemia-driving oncoproteins act in the context of phase-separated biomolecular condensates and how these structures regulate epigenetic states and cancer-associated gene
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the spatial aspects of socio-technical systems. Data science skills and an interest in spatial modeling are highly desirable. Experience with multi-disciplinary teams deploying mixed methods in complementary
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of the project is the further development and institutionalization of the seizmic APP, a digital learning platform for social entrepreneurship education. The seizmic APP helps students and early-stage
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preparation, PCR/qPCR). Experience handling Oxford Nanopore (ONT) sequence data. A record of scientific productivity appropriate to career stage and strong written and oral communication. As a field-demanding
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of microalgae. This will include optimizing cultivation conditions, testing single and multi-stage systems to separate biomass growth from metabolite production, evaluating targeted stress factors, and developing
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energy supply systems, multi-objective and stochastic optimization, advanced statistical analysis, and data visualization. This position offers the opportunity to work with a multidisciplinary team of
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planning systems, or multi-agent systems. Familiarity with privacy and security techniques such as differential privacy, secure aggregation, secure multiparty computation, homomorphic encryption, trusted
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. degree or have submitted their Ph.D. thesis. The Spagnoli lab is coordinating this T1D Grand Challenge-funded research multi-partner, interdisciplinary consortium and is primarily responsible
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of these systems are insufficient to cover the diversity of human-driven experimental activities. The development of multi-appendage, dexterous robots with embodied intelligence is a key to closing this gap