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with an impact factor above 10. You must have shown a high degree of publications within the last three years. You are expected to have shown the capability to manage several complicated research
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axon development. However, these methods lack the resolution needed to analyse axon branching and synapse formation. This project aims to establish a high-resolution imaging pipeline by incorporating
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at investigating spin-crossover (SCO) complexes in direct contact with surfaces, where the interaction of the molecules with a metal substrate is gradually tuned by inserting an insulating layer of variable
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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of hematopoietic/endothelial research principles and methods including: flow cytometry, hematopoietic transplants and confocal imaging The University of Illinois System is an equal opportunity employer, including
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external experimentalist. You should have expertise in at least one of the following areas (i) Non-adiabatic chemical dynamics, (ii) Physics of charge transport in the solid state, (iii) QM/MM methods, (iv
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-viral gene delivery methods. Data Analysis and Interpretation: Rigorously analyze experimental data, interpret results, and present findings to internal research teams and at scientific conferences
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researcher You will develop analytical methods to quantify the individual vitamers, as well as precursor and degradation products. You will evaluate content of vitamins and nutrient during processing with