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leaders and members. Qualifications: PhD degree in Data Science, Computational Biology, Bioinformatics, or a related discipline PLUS (2) two years of postdoctoral experience in bioinformatics. Additional
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. Minimum Requirements: PhD in Bioinformatics, Biostatistics/Statistics, Statistical Genetics, or Genetic Epidemiology. Preferred Qualifications: Working knowledge of programming proficiency in R or Python
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this with other 'omics' data including genomics. Applicants must have a PhD in computational biology, bioinformatics or closely related fields. This is a fixed term Senior Research Associate (SRA) position
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. You will conduct statistical analyses of genetically informative data sets measured for phenotypes of direct or indirect relevance to psychiatry. You will have or be close to the completion of a PhD in
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successful you will need: Explicitly address each selection criteria MSc/PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field with a strong focus on machine learning and
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the field of precision oncology. To be successful you will need: Explicitly address each selection criteria PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field with a
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project outcomes at seminars and workshops, and supervising bachelor or master’s students as and when the opportunity arises. Your profile Candidates should hold a PhD in biology, ecology, plant breeding
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must have a PhD in a quantitative discipline and have substantial (at least 7 years after earning PhD) additional research experience. Possible disciplines include, but are not limited to, computational
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; and collaborate with a multidisciplinary team to advance the field of precision oncology. To be successful you will need: Explicitly address each selection criteria PhD in Computational Biology
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for this position will have a PhD in physics/biophysics/mathematics/bioengineering /bioinformatics/computational science or similar field, including significant experience in programming. In particular, past