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are continuously exposed to a complex mixture of chemicals from diet, lifestyle, pharmaceuticals, and environmental pollution. To understand how these exposures affect health, non-targeted analysis (NTA) by mass
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(fzu.cz ). What you will do Investigate and optimize the epitaxial growth of complex semiconductor heterostructures while incorporating dilute magnetic semiconductors and altermagnetic materials Combine
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, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences
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(purification of ribosomes, ribosome complex assembly, etc.) Theoretical knowledge of single parcticle cryo-electron microscopy Good English language – spoken and written Nice-to-have: Work experience in cryo
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modelling, and FGF printing and skills in using ML in analysis and design of FGF printed auxetic structures. Suitable candidates should have a Ph.D. in Polymer Materials Science, experience with electron
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a focus on analysis of adults’ oral production in a second language acquisition (phonology and/or morphosyntax). Work within a research group. Optimisation of procedures and methods of investigation
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ideally includes past or present projects centered on machine learning analysis of chemical or biochemical data, especially relating to structural biology. Ample experience with Python programming is
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productivity. Priority will be given to candidates who have co-authored at least one scientific publication (submitted or accepted). Experience with population genetics, comparative genomics and/or the analysis
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population genetics, comparative genomics and/or the analysis of genomic data using bioinformatics protocols is advantageous. Additional Information Benefits • 5 weeks of paid holiday yearly, subsidized
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-to-have: Work experience in simulations with proteins/membranes and their analysis Good communication and interpersonal skills Motivation and a collaborative mindset What we provide to you: Open access