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Computational Biology: Immunology Multi-Scale, University of Nebraska

ProcoGlobal.com, Computational and Systems Biology group, Helikar Lab, University of Nebraska

Job Title: Computational Biology: Immunology Multi-Scale, University of Nebraska
Job Location: Nebraska - Lincoln , NE
United States
Status: Full-Time
Job Category: Sciences and technology: other
Computer Science/Info Tech/Systems
Biology/biotechnology/life sciences
Mathematics & statistics
Application Closing Date: 12/12/19
Date Posted: 2019-03-25
Industry: Academic/Education

Job Description





Computational Biology: Immunology Multi-Scale
University of Nebraska

Computational and Systems biology group at the University of Nebraska (Lincoln, Nebraska, USA) is looking for a quantitatively trained and highly motivated post-doctoral researcher to expand and validate a virtual immune system: a mechanistic, multi-scale, and multi-cellular model of the immune system. In the model, immune cells are represented as discrete and autonomous entities in an agent-based framework in various compartments, while the extracellular environment is described as continuous concentrations by ordinary differential equations. Each cell is also modelled at additional molecular scales to capture the dynamics at the level of metabolism, gene regulation, and signal transduction, using various mathematical and computational approaches. In addition to life sciences research, we also develop technologies (such as Cell Collective) to make computational systems biology broadly accessible to users with varying computational background. More information about our group at helikarlab.org.

The researcher will work in collaboration with other members of the group, and will have the opportunity to work on multiple projects in an international and a highly interdisciplinary setting with laboratory scientists, computer scientists, engineers, and mathematicians.

The University of Nebraska has an active National Science Foundation ADVANCE gender equity program, and is committed to a pluralistic campus community through affirmative action, equal opportunity, work-life balance, and dual careers.

Job Requirements

Qualifications

  • Essential qualifications and skills include:
  • PhD in a quantitative subject such as computational biology, bioinformatics, engineering, mathematics, physics, and computer science, or equivalent.
  • Deep understanding of immunology.
  • Mastery of modelling frameworks (at least one of differential equations, agent-based modelling, logical modelling, and constraint-based modelling) and their use in multi-scale modelling of complex biological systems.
  • Strong expertise in parametric estimation.
  • Computational and programming competence (e.g., C++, MATLAB, and LINUX).


Qualifications and Skills Include:

  • Strong biology background (e.g., metabolism, signal transduction, immunology, host-pathogen interactions).
  • Experience with extracting and manipulating large datasets from various databases, and integration of these data with predictive computational models.
  • Experience with statistics and machine learning, especially in the context of multi-omics.
  • Experience collaborating with wet-lab researchers

Information and Application Process Instructions

send CV and time to chat @ jonathan.king@procoglobal.com

When inquiring or applying for this position, please also reference AcademicCareers.com

Applicants with dual-career considerations can find university jobs such as professor jobs, dean jobs, chair / department head jobs, and other faculty jobs and employment opportunities at the University of Nebraska and at other institutions of higher education in the region on www.AcademicCareers.com

To obtain more information or to submit your resume you can contact Jonathan King as shown below. If you apply for this position, please say you saw it first on www.AcademicCareers.com. Thank you.

Jonathan King
ProcoGlobal.com
590 50th Ave
New York , NY 10036
United States
Phone: (914)413-1178
E-Mail: jonathan.king@procoglobal.com

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