Postdoc in Immunoinformatic Methods for Prediction of T Cell Receptor Specificity

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The section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated postdoc to advance the prediction of T cell receptor (TCR) specificities. TCRs scrutinize the surface of cells for foreign peptides presented in complex with MHC (Major histocompatibility complex) molecules. Only a minor proportion of the MHC presented peptides are recognized by T cells. Finding out the rules and properties defining this peptide subset has large implication for our understanding of immunity and the development of novel immune treatments such as vaccines.

If you are looking for the best possible foundation for establishing your scientific carrier and fulfilling your dreams and ambitions, this position could be your opportunity. The postdoc project will be focused on forefront cutting edge research to gain novel insights and advance our understanding of the rules associated with the T cell receptor (TCR) specificity with the aim of developing improved methods for rational epitope discovery and vaccine design. This we envision can be achieved by use of structural modeling of the interaction surface between the TCR and its target combined with refined deep neural network methods including variants of transformers and CNNs. The project will be conducted in the inspiring environment at the section of Bioinformatics at DTU Health Tech as part of the IML research group led by Professor Morten Nielsen.

Responsibilities and qualifications
As a postdoctoral fellow, your focus will be on continuing the work on expanding our understanding of the rules that define T cell receptor recognition of its cognate epitope targets. The work will be conducted as part of the IMI2 project Inno4Vac in collaboration with academic and industrial partners.

You hold a PhD degree or equivalent in one or more of the following areas: Bioinformatics, Biology, Engineering, Computer science or related fields, and have experience doing research within Bioinformatics.

The successful candidate must moreover exhibit the following professional and personal qualifications:

  • Strong background within machine learning, and bioinformatics is a requirement
  • Experience in structural biology and protein structure modeling and knowledge of the basic concepts of the cellular immune system would be a plus
  • Interest in engaging in supervision of project students
  • Capability of taking personal responsibility for your work and your results
  • Flexibility and a general positive attitude to changes
  • Motivation by both individual and team accomplishments
  • Strong communication skills in both written and verbal English
  • We offer
    DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

    Salary and terms of employment
    The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years. Starting date is as soon as possible.

    Skriv i din ansøgning, at du fandt jobbet på ofir.dk


    Postdoc in Immunoinformatic Methods for Prediction of T Cell Receptor Specificity

    The section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated postdoc to advance the prediction of T cell receptor (TCR) specificities. TCRs scrutinize the surface of cells for foreign peptides presented in complex with MHC (Major histocompatibility complex) molecules. Only a minor proportion of the MHC presented peptides are recognized by T cells. Finding out the rules and properties defining this peptide subset has large implication for our understanding of immunity and the development of novel immune treatments such as vaccines.

    If you are looking for the best possible foundation for establishing your scientific carrier and fulfilling your dreams and ambitions, this position could be your opportunity. The postdoc project will be focused on forefront cutting edge research to gain novel insights and advance our understanding of the rules associated with the T cell receptor (TCR) specificity with the aim of developing improved methods for rational epitope discovery and vaccine design. This we envision can be achieved by use of structural modeling of the interaction surface between the TCR and its target combined with refined deep neural network methods including variants of transformers and CNNs. The project will be conducted in the inspiring environment at the section of Bioinformatics at DTU Health Tech as part of the IML research group led by Professor Morten Nielsen.

    Responsibilities and qualifications
    As a postdoctoral fellow, your focus will be on continuing the work on expanding our understanding of the rules that define T cell receptor recognition of its cognate epitope targets. The work will be conducted as part of the IMI2 project Inno4Vac in collaboration with academic and industrial partners.

    You hold a PhD degree or equivalent in one or more of the following areas: Bioinformatics, Biology, Engineering, Computer science or related fields, and have experience doing research within Bioinformatics.

    The successful candidate must moreover exhibit the following professional and personal qualifications:

  • Strong background within machine learning, and bioinformatics is a requirement
  • Experience in structural biology and protein structure modeling and knowledge of the basic concepts of the cellular immune system would be a plus
  • Interest in engaging in supervision of project students
  • Capability of taking personal responsibility for your work and your results
  • Flexibility and a general positive attitude to changes
  • Motivation by both individual and team accomplishments
  • Strong communication skills in both written and verbal English
  • We offer
    DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

    Salary and terms of employment
    The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years. Starting date is as soon as possible.

    Skriv i din ansøgning, at du fandt jobbet på ofir.dk


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