Postdoc In Immunoinformatic Methods For Prediction Of T Cell Receptor Specificity

Technical University Of Denmark

Description

Apply no later than 24 September 2021 Apply for the job at DTU Health Tech by completing the following form.

The section of Bioinformatics, DTU Health Tech is world leading within and Immunoinformatics and Machine-Learning. Currently we are seeking a highly talented and motivated postdoc to advance the prediction of T cell receptor specificities. T cell receptors scrutinize the surface of cells for foreign peptides presented in complex with MHC (Major histocompatibility complex) molecules. Only a minor proportion of the peptides produced within a cell are presented by MHC on the cell surface, and only a minor proportion of these are recognized by T cells.

The postdoc project will be focused on forefront research to further advance our understanding of the rules associated with the T cell receptor recognition of its cognate epitope targets with the aim of development of improved methods for rational epitope discovery.

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 will moreover exhibit the following professional and personal qualifications:

Strong background within machine learning, bioinformatics and structural biology

  Strong computational skills and prior experience with Unix/Linux command line environments, as well as either Python, C, Perl or a comparable scripting language

  In depth understanding of the basic concepts of the cellular immune system

  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 with a starting date of 15 October 2021 or as soon as possible hereafter.

You can read more about career paths at DTU here.

Further information Further information may be obtained from Morten Nielsen, morni@dtu.dk and at Immunoinformatics and Machine Learning (IML).

You can read more about DTU Health Tech at www. healthtech.dtu.dk/english.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure

Your complete online application must be submitted no later than 24 September 2021 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  Application (cover letter)

  CV

  Academic Diplomas (MSc/PhD)

  List of publications

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