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The employment requires: Masters degree in bioinformatics, biology or similar. Experience in handling large gene expression data sets, and statistical analyses in R. Good knowledge of biology, genetics and
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-mediated image analysis. and imaging Experience of working in Qupath Experience in data analysis of patient material and related statistical assessments Knowledge in cell biology and/or immunology Personal
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, electronics, instrumentation, mechatronics. Experience photonic measurements and/or optical instrumentation. Experience with dynamic signals, advanced statistics and clustering methods. Excellent skills in
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tools within one or more of the following methods; statistical methods, geoinformatics (including spatial econometrics), AI methods (e.g. NLP and Topic Modelling), visualization methods, as
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or related subjects such as: Time-series analysis, Spectral analysis, Statistical learning. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through
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experience from statistical signal processing or machine learning. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through experience and skills
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to the third-cycle studies, e.g. professional experience. Other assessment criteria: Practical experience from statistical signal processing or machine learning. Experience with mathematical modelling and
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/statistics. The candidate will work jointly with Dr. Eran Elhaik and experts to develop forensic tools. This is a multi-disciplinary project involving programming, modeling, and field testing. You will develop
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field work to collect data, laboratory work, bioinformatics analyses of whole-genome data, and methods and statistics for spatial analyses. Overall, this is a project well suited for students with a
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training and research in economic history, business administration, business law, informatics, economics, statistics and research policy. Lund University School of Economics and Management is accredited by