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美國(guó)貝勒醫(yī)學(xué)院2024年招聘博士后職位(靶向腦神經(jīng)治療學(xué))

時(shí)間:2024-10-17來(lái)源:中國(guó)博士人才網(wǎng) 作者:佚名

美國(guó)貝勒醫(yī)學(xué)院2024年招聘博士后職位(靶向腦神經(jīng)治療學(xué))

貝勒醫(yī)學(xué)院(Baylor College of Medicine)是美國(guó)休斯敦的一所私立醫(yī)藥學(xué)校,被認(rèn)為是全美最杰出的醫(yī)學(xué)院之一,獲中國(guó)教育部認(rèn)證。學(xué)校在世界范圍內(nèi)的生物醫(yī)藥研究領(lǐng)域處于領(lǐng)先地位,學(xué)校最早建立于一九零零年,迄今為止已經(jīng)有一百多年的悠久歷史了。

貝勒醫(yī)學(xué)院為學(xué)生提供財(cái)政援助和獎(jiǎng)學(xué)金,幫助學(xué)生減輕就學(xué)期間的經(jīng)濟(jì)壓力,符合要求的學(xué)生都可以申請(qǐng)獎(jiǎng)學(xué)金和財(cái)政援助。學(xué)校致力于醫(yī)藥和研究生教育,并且因而獲得了超過(guò)一億美金的捐贈(zèng),是美國(guó)六十三所獲得超過(guò)一億捐贈(zèng)的優(yōu)秀大學(xué)之一。

Postdoctoral Associate

Baylor College of Medicine

Job Description

Summary

The Papageorgiou Lab is dedicated to exploring the mechanisms of neuro-rehabilitation through AI-driven MRI-based individualized NeuroModulation (iNM), which targets individualized regions based on the patient’s lesion location and extent. iNM aims to neuro-rehabilitate central and peripheral nervous system injuries. Through a range of advanced quantitative methods, such as causal modeling (Hidden Markov Models), linear and non-linear machine learning, population receptive field analysis we aim to elucidate the spatiotemporal mechanisms of plasticity with iNM treatment to alleviate chronic neuropathic pain in head and neck cancer and breast cancer survivors, decelerate cognitive impairment and neuro-rehabilitate visual perception in cortically blind patients

We are seeking a highly motivated Research Associate or Postdoctoral Fellow to join the Papageorgiou/Investigational Targeted Brain Neurotherapeutics Laboratory. The successful candidate will conduct cutting-edge computational modeling and cortical repair and neuromodulation experiments in patients and healthy participants. This project aims to uncover the mechanisms underlying cortical repair through the use of computational techniques such as Hidden Markov Models, machine learning, and functional connectivity. This project offers an exciting opportunity to advance understanding of innovative neurofeedback methods applied to health and neurological disorders (e.g., cortical blindness, chronic pain, motor disorders). The ideal candidate will have a passion for innovative scientific research and flexibility in their work schedule.

Job Duties

Conducts a range of advanced quantitative analyses on existing neuroimaging datasets.

Assists in ensuring the seamless operation and synchronization of the closed-loop system during MRI, fMRI and iNM sessions with both patients and healthy participants.

Analyzes using AFNI software, matlab, and python.

Documents research findings and help with writing-up papers for peer-reviewed journals.

Minimum Qualifications

MD or Ph.D. in Basic Science, Health Science, or a related field.

No experience required.

Preferred Qualifications

Ph.D. in Neuroscience or Electrical Engineering or Neuroengineering or related field.

Strong knowledge of matlab and python and ability to independently troubleshoot.

Advanced computational skills.

Proven ability to write and present scientific reports, publications, and deliver scientific presentations.

Strong interpersonal communication skills, with the ability to collaborate effectively in a team and conduct independent research.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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