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is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and systems. Generally speaking, thermal runaway is a chain reaction
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models, run statistical models, and write research articles. Qualifications Requirements A completed doctoral degree in Economic History at the commencement of the project-based employment Research
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postdoctoral fellow to work with advanced 3D models of lung to understand regenerative processes in normal conditions and disease states. The employment is full-time 100% with the desired start date on 15
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, biochemistry or molecular biology Documented experience in animal handling Experience in on handling mouse models of ovarian cancer Experience in common biochemical and molecular biological methods Knowledge in
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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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longitudinal population data at the individual level, national register data, statistical modeling, and management of complex individual-level databases is required as well as advanced skills in R-programming
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, molecular genetic and cytogenetic techniques, and functional models of somatic genetic changes to understand how childhood leukemia arises and develops. Our long-term aims are to use our increased
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bacterial cell factories and protein engineering bioinformatics, molecular modeling, protein visualization and modeling programs (YASARA, PyMol, PyRx, etc.). analytical methods: HPLC, GC, mass spectrometry