Designed to provide research students with an overview of the latest research developments across the breadth of the biological sciences, to advance their ability to critically assess scientific methodologies and data, and to demonstrate how best to deliver succinct, clear…
Curriculum: ICAT
Fundamental Biological Imaging
This course is designed for students who wish to understand and become critically aware of the basic principles, practice and applications of rapidly developing imaging technologies.The course covers the following: Principles of microscopy Staining and contrasting of samples Histochemistry, immunohistochemistry…
Data Analysis for Biological Scientists
This course provides graduate students involved in laboratory-based research in the biological sciences with the analytical and statistical skills to generate meaningful results from experimental data in practical computer-based workshop sessions. The course covers the basics of data analysis for experimental…
Research Ethics and Integrity
The aim of this course is to increase the capacity of PhD candidates to transform the principles of research ethics and integrity into concrete action while undertaking research for doctoral degrees, as well as throughout their professional careers. All types…
Anatomical and Molecular Imaging
This module aims to provide undergraduate and postgraduate students, as well as all interested staff, with comprehensive background knowledge in medical imaging technologies and applications. The course will support students in the interpretation of medical images, will discuss the differences…
Critical Analysis, Writing and Communication Skills
This module is aimed at providing students with the necessary skills to critically analysis their own work and that of others. It also aims to give students the necessary knowledge and skills to make technical presentations in both written and…
Biostatistics for Postgraduate Research
This comprehensive course on statistics is designed to bring a student from the basics of study design right through to complex analysis of any data set. Elements include defining the research question and hypothesis, study design (including how to plan…
Fundamentals of Computational Biology
This module provides students with a firm grounding in Computational Biology methods, mathematical modeling and software used to carry out biological data analysis. Examples of large data sets that will be touched on include (but not limited to), the analysis…
Cell Signalling and Molecular Medicine
This module is designed to give postgraduate students and early career researchers a solid understanding of cell signaling mechanisms relevant to disease pathogenesis and therapeutic development and to overview commonly used techniques and approaches for their analysis. This course is…
Applied Genomics
This module will provide students with the understanding of the practical challenges in generating different “Omics” datasets, the important implications of how this is conducted when analyzing such datasets and with practical experience of dealing with resulting datasets using relevant…