
PhD in Bioinformatics – 16+ Funded Positions
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PhD in Bioinformatics
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Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures, with complex structures or otherwise, composed of multiple non-linear transformations. The use of deep learning have revolutionised the machine learning community, but so far has only been used in a few biological applications.
In this project we aim to use deep-learning method to predict various aspects of protein structure prediction, including (but not limited to) model quality assessment, contact predictions and secondary structure prediction. For an overview of our work, go to bioinfo.se/papers .
A general interest in protein, programming and machine learning methods and a solid background in bioinformatics, physics or computer science is suitable for this position.
Deadline: 24/09/2019
In addition to working in the laboratory with an automated platform, the student will have the opportunity to develop analytical and bioinformatics skills. A strong background in microbiology, biology or bioinformatics is necessary.
If you are interested in such a project, send your CV, grade reports and a short letter of motivation to Marie Filteau (Marie.filteau@fsaa.ulaval.ca).
Deadline: 26/09/2019
Deadline: 11/09/2019
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Our research is centred around the question, of how non-coding regulatory mutations and structural variants in the human genome cause disease. For that we have put together a team of 12 Principal Investigators from such diverse fields as Clinical Medicine, Genetics, Biophysics, Cell and Molecular Biology, Bioinformatics, and Machine Learning.
Our research is shared between three different Institutions at Berlin that are the Charite University Hospital, the Humboldt University, and the Max Delbrueck Center (MDC) for Molecular Medicine.
The formal PhD training of our PhD students will be associated with the training program of the Berlin-Duke International Research Training group Dissecting and Re-engineering the Regulatory Genome (IRTG 2403) at Humboldt University Berlin and the Max Delbrueck Center for Molecular Medicine (https://www.regulatory-genome.org/ )
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