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Field
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to characterize immune and tumor cell phenotypes. -Execute standard molecular biology techniques, including PCR, Western blotting, and gene expression analyses. -Apply confocal microscopy to visualize cell-cell and
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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modelling, simulation, and visualization functionalities, as planned in the European project ARTEMIS - Applying Reactive Twins to Enhance Monument Information Systems. Activities may include designing and
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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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Proficiency in computational data analysis Strong background in system biology/molecular biology/cell biology Grade requiremens The norm is as follows: The average grade point for courses included in
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a related field who bring hands-on expertise in in vivo calcium imaging or electrophysiology, along with strong data analysis experience in Python and/or MATLAB. Candidates who combine quantitative
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, peace and conflict studies, war studies or sociology. Experience in qualitative digital methods and qualitative data analysis Experience and willingness to conduct multi-sited ethnographic fieldwork
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for autism, recruiting and testing participants, as well as data processing and analysis. The main goals of SHAPE are to map out the relationship between the visual perception of shape and its encoding
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Contribute analytic insights in preparing presentations for policy and employer audiences Perform other duties as required Data Analytics & Research Lead analysis of provincial nursing workforce supply, IEN