UT Southwestern Medical Center
UT Southwestern Medical Center

POSTDOCTORAL RESEARCHER - Program in Memory Longevity - Losonczy Lab

职能机器学习
级别中级
地点Dallas, TX, United States
方式现场办公
类型全职
发布2个月前
立即申请

职位介绍

The newly established Program for Memory Longevity (PML), led by Attila Losonczy, MD, PhD, in the O’Donnell Brain Institute (OBI) and the Department of Neuroscience at the University of Texas Southwestern (UTSW) Medical Center in Dallas, seeks applications for multiple postdoctoral fellow positions to investigate memory mechanisms in the mammalian brain using innovative molecular, cellular, or imaging approaches in animal models and human tissue. The successful applicant will be embedded in the larger Neuroscience community at UTSW and OBI, and will benefit from a network of collaborations with research groups in the US and Europe.

This is a full-time postdoctoral fellow position in a neurobiology laboratory focusing on the synaptic and cellular/molecular mechanisms of learning and memory.

Potential projects include:

  • In vitro electrophysiology and imaging: Characterizing synaptic and dendritic integration and plasticity of mouse and human hippocampal neurons using patch-clamp recording, single-cell electroporation, Patch-seq, and advanced imaging approaches.

  • In vivo imaging: Characterizing synaptic plasticity during navigation and learning using two-photon calcium, voltage, and neurotransmitter imaging.

  • Molecular neurobiology: Characterizing learning related plasticity in vivo and in vitro through multi-omics approaches (e.g., transcriptomics, proteomics).

Required qualifications:

Candidates should have experience in one or more of the following areas:

  • In vitro electrophysiology:

Proficiency in whole-cell patch clamp recording, acute slice preparation, and/or cell culture electrophysiology, along with related data analysis methods using tools such as MATLAB or Python.

  • In vivo imaging:

Proficiency with in vivo two-photon calcium and/or voltage imaging techniques, including experimental execution and data analysis.

  • Molecular neurobiology:

Proficiency with techniques such as proteomics, transcriptomics and genomics, and related bioinformatics and statistical analysis techniques.

Candidates must hold a Ph.D. in Neuroscience, Cell Biology, Biochemistry Physics, (Electrical) Engineering, Statistics, Computer Science or a related field.

Interested individuals must upload a CV, research statement and name/contact information for three referees.

UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/

Benefits

UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

  • PPO medical plan, available day one at no cost for full-time employee-only coverage
  • 100% coverage for preventive healthcare – no copay
  • Paid Time Off, available day one
  • Retirement Programs through the Teacher Retirement System of Texas (TRS)
  • Paid Parental Leave Benefit
  • Wellness programs
  • Tuition Reimbursement
  • Public Service Loan Forgiveness (PSLF) Qualified Employer
  • Learn more about these and other UTSW employee benefits!

福利待遇

•育儿假

•学费报销

•健康计划

•退休金计划

•带薪假期

•Learning Budget

必备技能

Machine learning

Model evaluation

Data workflows

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