For Master’s Students enrolled in the Bioengineering program, we have three types of projects that fall under the general scope of “Computational and Statistical Genetics” with a mixture of benchwork in biology and bioinformatics/mathematics.
1) Master’s Project (42 hr/wk)
The full-time master’s project will be a fully independent (though guided) research program within the Auwerx lab, with even application between wetlab biology techniques/practices (e.g. RNA/protein extraction, qPCR) and computational techniques (e.g. microarray analysis, metabolomic, genome-wide association studies). This project will build off of previously-established research in the Auwerx laboratory, with a particular focus on systems genetics approaches to understand metabolic homeostasis, common metabolic diseases (type 2 diabetes, obesity, atherosclerosis) and aging. A profound interest and expertise in one of these areas are hence a must. Given that computational approaches are an important aspect of this project, the candidate should also have a strong background and interest in one or more of the following areas: computational biology, mathematics, statistics, or genetics.The overarching project goal will be defined, but the specifics of the final project are entirely up to the student after an introductory period. The general plan is for a mixture of bioinformatics/statistics and benchwork, but the exact breakdown will be defined mutually between the student and laboratory leadership.
2) Master’s Project (42 hr/wk or 16 hr/wk)
This project will be an extension of the ongoing-established research in the Auwerx laboratory on the links between mitochondria, metabolism, exercise, and aging. Particular emphasis will be on mitochondrial supercomplex analysis and exercise physiology. The project will require the student to do: (i) mitochondrial extraction and BN-PAGE on mouse samples, including common molecular biology techniques; (ii) exercise experiments (treadmill running) in mice; (iii) computational techniques (bioinformatic/statistical/genetic) as applied on datasets previously generated by the lab. The general plan is for an even mixture of benchwork and bioinformatics/statistics, but the exact breakdown will be defined mutually between the student and laboratory leadership. The student will work with the guidance of a post-doctoral fellow in the lab.
3) Master’s Project (42 hr/wk or 16 hr/wk)
The present project will be embedded in an ongoing study focused on the genetic control of NAD+ homeostasis, one of the core research fields in the Auwerx lab. NAD+ homeostasis becomes dysbalanced with aging and is impaired in a variety of diseases (e.g. diabetes, liver and kidney diseases, neurodegeneration, muscular dystrophy). Therefore, we aim to acquire deeper knowledge about the genetic and metabolic control of NAD+, which might pave the way for novel therapeutics in the future. In course of this project, the student will learn how to (i) culture mammalian cell lines, (ii) isolate cell organelles from cells and mouse tissues, (iii) isolate RNA and proteins from cells and mouse tissues, (iv) perform routine molecular biology techniques, e.g. Western blotting and qPCR, and (v) perform computational analyses (computational biology, statistics, genetics). The student will work under the guidance of a post-doctoral fellow in the lab.
GRADUATE OR POST-DOCTORAL PROJECTS
Graduate or post-doctoral project in the Auwerx laboratory on the “Multilayered analysis of the mouse BXD genetic reference population” involving a mixture of wet and in silico approaches in systems biology and genetics.
This project will build off of previously-established research on the BXD mouse genetic reference population in the Auwerx laboratory within the overall spectrum of metabolism. The primary project will focus on computational techniques (informatic/mathematical/statistical/genetic/omics) as applied on massive and multilayered datasets (genomics, transcriptomics, proteomics, metabolomics, phenomics) previously generated by the lab in the BXD mouse population. The student/post-doctoral fellow will be able to work on a range of projects which have strong leads in the directions of glucose homeostasis and metabolism, exercise physiology, neurodegeneration, and aging. The mouse data will be integrated with comparable large datasets collected in similar population studies in the Drosophila Genetic Reference Panel (DGRP) and in human GWAS. Although the student/post-doctoral fellow will be extensively exposed to wetlab biology techniques, a large part of the work will involve data analysis. The candidate should hence not only have a strong background and interest in metabolism, but also excellent in one or more of the following areas: mathematics, statistics, or genetics.
To apply or obtain practical information please contact: email@example.com.