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- Institute of Dendrology, Polish Academy of Sciences
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- Instytut Paleobiologii Polska Akademia Nauk
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the laboratory to test models and predictions.ch. Preferred background: statistical mechanics, computational simulations, machine learning, glasses Plus: documented scientific achievements in the form of peer
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collections of fossil mammal remain and conducting their comparative studies, with particular emphasis on cataloguing and conservation; knowledge of statistical methods and experience in applying them
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. Specific Requirements experience in analysing non-flint stone artefacts, e.g. quartzite; experience in statistical analyses; experience in analysing stone artefacts from Asia; ability to create 3D models
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research in tropical ecosystems. 3. Demonstrate proficient level of knowledge of the English language. The ideal candidate will also have some of the following: • Excellent skills in statistics
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methods, R (environment for statistical computing and graphics), 3D modeling; - At least three published or accepted papers in international, peer-reviewed journals in the field of paleontology
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knowledge of the details of the design of SO/STIX and ASO-S/HXI; • Excellent knowledge of the Python and IDL programming languages; • Knowledge of the statistical analysis methods; • Knowledge of English at a
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interpreting experimental data, including selection of appropriate statistical tests and data visualization; Preparing research reports, scientific manuscripts, and conference presentations; Maintaining
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, the candidate should demonstrate skills in performing statistical analyses and experience in environmental field work in mountain river valleys. We are looking for a person who will prepare data analysis and
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. Publications in a field related to the topic. Good organizational skills and experience working in a team. Excellent communication skills in English. Experience in statistical analysis of experimental data and
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regulatory genomics. Proficiency in R, Python, or other programming languages, experience in bioinformatics analyses of NGS data and understanding of statistical principles is highly desired. Experience