Exploring Pancreatic Cell Collectives: PhD Opportunity in Physiology and AI/ML

Updated: 2 months ago
Job Type: FullTime
Deadline: 01 Apr 2024

8 Feb 2024
Job Information
Organisation/Company

Medical University of Vienna
Department

Center for physiology and pharmacology
Research Field

Medical sciences » Other
Physics » Biophysics
Biological sciences » Other
Researcher Profile

First Stage Researcher (R1)
Country

Austria
Application Deadline

1 Apr 2024 - 17:00 (Europe/Vienna)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

40
Offer Starting Date

1 May 2024
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Reference Number

CTN007
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The Slak Rupnik lab, at the Medical University of Vienna, Center for Physiology and Pharmacology, is seeking a passionate and skilled candidate to contribute to a pioneering project at the intersection of biology, physics, and artificial intelligence. This unique PhD position offers the opportunity to delve into the fascinating world of pancreatic sensory cell collectives and their role in nutrient sensing and metabolic regulation. Pancreatic cells compute their responses to blood level glucose collectively, as an interacting network, much as neurons in the central nervous system. The key challenge and the opportunity here is to explore the intriguing analogies between the two information processing systems.

Project Overview: Our ambitious project aims to revolutionize our understanding of pancreatic sensory cell collectives across various spatio-temporal scales. You will engage in cutting-edge research focusing on:

  • The micro-scale dynamics of pancreatic cell-cell interactions.
  • Mesoscopic scale investigations involving interactions between islets and other pancreatic cell types.
  • Advanced analysis of pancreas functionality, integrating insights from blood flow velocities and microvasculature organization.

Our approach goes beyond traditional molecular studies, pioneering cutting-edge single cell and real-time functional data-acquisition to uncover the complex orchestration of pancreatic cells in nutrient homeostasis and metabolic response.

Your Role and Responsibilities: As a PhD candidate, you will:

  • Contribute to innovative research at the forefront of physiology and diabetes research.
  • Utilize and further develop AI-driven models to analyze and predict pancreatic cell behavior.
  • Engage in the development of stochastic biophysical models and reinforcement learning techniques for optimal control in nutrient homeostasis.

Why Join Us?

  • Be part of a dynamic, interdisciplinary and international team pushing the boundaries of biological and computational research.
  • Access to state-of-the-art facilities and resources, including a close and already established collaboration with the biophysics theory & computational neuroscience group at Institute of Science and Technology Austria (http://gtkacik.pages.ist.ac.at ).
  • Opportunity to contribute significantly to a field with immense potential for therapeutic advancement in diabetes.

Application Process: Interested candidates are encouraged to apply by submitting their CV, a cover letter outlining their interest and qualifications, and relevant supporting documents.


Requirements
Research Field
All
Education Level
Master Degree or equivalent

Skills/Qualifications
  • Master’s degree or equivalent in natural sciences (e.g., physics, chemistry, biology, medicine, pharmacy).
  • Previous experience with artificial intelligence and proficiency in Python.
  • Strong command of the English language.

Languages
ENGLISH
Level
Excellent

Research Field
All
Years of Research Experience
None

Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
Medical University of Vienna, Center for physiology and pharmacology
Country
Austria
City
Vienna
Postal Code
1090
Street
Schwarzspanierstrasse 17
Geofield


Where to apply
E-mail

[email protected]

Contact
City

Vienna
Website

https://www.meduniwien.ac.at/
Street

Schwarzspanierstrasse 17
Postal Code

1090
E-Mail

[email protected]
Phone

+4314016031113
Mobile Phone

+436645105888

STATUS: EXPIRED

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