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engineeringEducation LevelPhD or equivalent Skills/Qualifications Ideally, the candidate has experience in quantitative biology and bioinformatic analysis, including: Image analysis (cell segmentation, tracking
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funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Latent Class Analysis para el análisis del
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of the research group. Critical analysis and interpretation of experimental data are integral aspects of the role, and the candidate will be expected to regularly present findings within the group, department, and
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an interdisciplinary team. Your tasks Conduct physical vapor deposition experiments using advanced PVD processes such as synchronized HiPIMS Perform in-depth materials characterization and surface analysis Apply and
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on the mathematical theory of deep learning as part of the joint NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
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and in collaboration with the PI, other postdoctoral scholars, graduate students, and research staff. Performs molecular and biochemical assays (nucleic acid and protein isolation and analysis, qRT-PCR
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analysis. Our laboratory develops physiologically relevant in vitro platforms, including three-dimensional culture systems, tunable hydrogel matrices, microfluidic devices, organ-on-chip models, and
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analysis, machine learning, mathematics of data scienceMathematical modeling and manifold learning of high-dimensional data geometry, with theoretical foundations and applications in evolutionary biology and
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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bacterial growth, survival and tolerance under various stress conditions, particularly antimicrobial stress. * Performance of microbiology, bacterial genetics and molecular biology techniques. * Analysis