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. Demonstrated experience in analysing mobility, exposure, environmental or other spatially and temporally referenced data. Strong quantitative and statistical analytical skills. A strong publication record
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partners to better understand the domain, help address scientific hypotheses and support the programme objectives. About You You will hold a PhD/DPhil with a significant computational and/or statistical
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and support the programme objectives. About You You will hold a PhD/DPhil with a significant computational and/or statistical element together with expertise in bioinformatics analysis of omics datasets
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written ● Fluent English Desirable: ● Experience with single-cell or spatial genomics data ● Contributions to open-source scientific software ● A fully funded four-year PhD position (100 %) in a new
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, R, MATLAB) for data processing and analysis. - Experience in statistical processing of spatial and temporal data. 4) Instrumentation and metrology: - Knowledge of sensors and measurement instruments
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 26 days ago
cancer. The Core Facility Bioinformatics and Statistics (CF-BIOS) at Helmholtz Munich is part of the SPACETIME project, an EU consortium studying how spatial cellular organization changes with disease
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methods that will help unlock the full potential of spatial omics data Base Salary, Level A $113,634 - $125,896 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics is
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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UiO/Anders Lien 16th October 2026 Languages English English English PhD in spatial genome organization and gene regulation PhD fellowship Apply for this job See advertisement About the position A
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to ecological or biological questions. Demonstrated experience developing and applying species distribution models, ecological niche models, or related spatial/statistical models. Experience working with large