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libraries); proficiency in carrying out molecular, ecological and statistical analyses; knowledge of invertebrate taxonomy. RESPONSIBILITIES: conducting and participating in scientific research and
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will be essential. The candidate is required to have ability to use the following software: ArcGIS/Q-GIS, AutoCAD, Photoshop; good knowledge of R programming language and ability to use it in statistical
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by mass spectrometry techniques, identifying proteins and phenols; Performing LC/MS data analysis and interpretation, as well as statistical, chemometric and mass profiling analyses; Preparing
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 1 month ago
of English is required. A good understanding of fundamental theoretical concepts in generative AI or probabilistic models or Bayesian statistics is needed, as well as strong programming skills combined with a
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in conducting research on image processing using deep neural networks; knowledge of methods of statistical data analysis; ability to work with large data sets; experience of working in R or Python
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or other relevant online resources). Solid understanding of statistical principles is essential. Experience in single cell genomics data analysis is highly advantageous. Solid understanding of the principles
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of issues of designing scientific experiments and statistical analysis of research results combined with the ability to use professional Statistica software. Knowledge of issues: Sustainable Development in
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PLN gross/month). II.Job Responsibilities: Planning and performing experiments, and preparation of the results summary and their interpretation. NGS data analysis and statistical analysis. Preparation
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recordings, strong MATLAB and or Python programming skills – single-neuron sorting (Preference for Osort software), signal analysis, statistics, machine learning, exceptional motivation for the scientific
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or other relevant online resources). Solid understanding of statistical principles is essential. Experience in single cell genomics data analysis is highly advantageous. Solid understanding of the principles