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Field
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fields, a good word from our established national and international collaboration network of companies and research institutes, the content of the ever-growing number of projects we are involved with can
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from the chair’s senior academic staff and might be involved in teaching at under/postgraduate level as well as funding acquisition and (global) outreach, if desired. International networking and
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interpersonal, communication, organizational, problem-solving, and statistical software skills (e.g., R). Strong background in quantitative data analysis and research methodology is preferred. Ideal candidates
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Qualifications Familiar with Ab-initio calculation packages (VASP(plane wave basis set), JAGUAR(Gaussian basis sets), CRYSTAL(hybrid DFT with Gaussian basis sets)), MD simulation software (LAMMPS), bond-detecting
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integrated with the NiMARE (NMA) software project. To be considered you will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain
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on neuroimaging meta-analysis (NMA), developing novel methods and implementing them in efficient, well-documented and user-friendly code to be integrated with the NiMARE (NMA) software project. To be considered you
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be the first author, corresponding author, reprint author, or another explicitly defined role in the article). Experience in research outside the Czech Republic with at least a 0.5 full-time equivalent
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, including hybrid working for some roles. Generous pension scheme. A wide range of discounts and rewards on shopping, eating out and travel. A variety of staff networks, providing opportunities for social
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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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marginalized identities to apply. Qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRRA) and qualified disabled individuals with disabilities under Section 503