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PhD degree in Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational
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, which combines tools from probability, statistics, PDEs, and extreme-value theory to address climate-related questions. Qualifications: Completed PhD degree in Mathematics, with a solid background in at
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and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical displays of results and manuscripts for publication. Basic Qualifications
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but not limited to, disease diagnosis/prognosis, biomarkers identification and treatment prediction, etc. Required Qualifications: A PhD by time of hiring in a relevant field. Relevant fields include
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. About You You will have a PhD in statistical genomics, genetic epidemiology, population genetics, biostatistics, or a closely related discipline, with demonstrated experience in analysing large-scale
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aging and malignant transformation, taking the lead in developing novel mathematical models and statistical tools, to quantify clonal dynamics in aging and malignant human tissues. As a member of an
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. About You You will have a PhD in statistical genomics, genetic epidemiology, population genetics, biostatistics, or a closely related discipline, with demonstrated experience in analysing large-scale
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of Mathematical Statistics at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is a joint institution for the Faculty of Engineering (LTH) and the Faculty of Science (N) at Lund University
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PhD, Doctorate, or MD. - Strong statistical skills (e.g. experience in analysis and causal inference methods such as difference-in-differences, instrumental variables, and propensity score
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the experiments. Required Qualifications: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science