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Curricular information is subject to change
During the placement the student will undertake various research related tasks that may include data pre-processing, inputting and managing data, differential gene/protein expression analysis, pathway and network analysis, machine learning analysis, biological interpretation of results. The module will provide hands-on experience in omics data analysis using real science projects in collaboration with our academic and clinical partners.
Student Effort Type | Hours |
---|---|
Lectures | 0 |
Placement/Work Experience | 250 |
Total | 250 |
Not applicable to this module.
Remediation Type | Remediation Timing |
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In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Not yet recorded.