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IOCB Prague / Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences | Czech | about 9 hours ago
opportunity to master laboratory work in a top international team and participate in the development of compounds for the future treatment of serious diseases. Work description: Analysis of immune response
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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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thin films. The main research topics are magnetism of semiconducting oxides, magnetic phase transitions in transition metal oxides, and spintronics. The research will be performed at the Department
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Requirements: – university degree (preferably Ph.D.) in statistics, data science, economics, sociology, or a related field – proven experience in quantitative research and data analysis – proficiency in
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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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computational modelling to address key challenges in brain health and neurodegeneration research. This includes: Multimodal data integration and analysis: Designing and implementing advanced computational methods
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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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-electron microscopy and data analysis Good communication and interpersonal skills Motivation and a collaborative mindset What we provide to you: Open access to CEITEC MU core facilities with state-of-the-art
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science, or closely related previous sufficient experience/education in the following areas: ecosystem services, risk assessment, ecological/environmental data analysis and modelling, soil biology Informal
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theory and analysis. MAIN JOB CONTENT Pedagogical Participating in lectures or other forms of teaching in Bachelor’s or Master’s degree programme, as well as lifelong learning programmes. Supervising