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8 часов назад

Computational Neuroscience Intern (Machine Learning)

15 - 31$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US/Japan/China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Computational Neuroscience Intern (Machine Learning): Developing statistical and machine learning models for large-scale neural recordings, animal behavior data, and transcriptomics with an accent on data mining, curation, and research repository storage. Focus on applying analytical models to complex neuroscience datasets, evaluating computational methods, and contributing to scientific publications.

Location: Bar Harbor, Maine, United States; remote work may be possible, with regular communication with lab members required.

Pay range: $14.50–$30.51 per hour.

Company

hirify.global is an independent nonprofit biomedical research institution focused on genetics, disease research, and genomic solutions.

What you will do

  • Develop and implement statistical and machine learning models for computational neuroscience data analysis.
  • Analyze datasets from neurophysiological recordings and animal behavior experiments.
  • Perform data mining, data curation, and storage in research repositories.
  • Develop novel computational methods and evaluate existing analytical approaches.
  • Collaborate with Joy Lab members, study scientific literature, and contribute to scientific publications.

Requirements

  • Undergraduate degree required.
  • Interest or background in computational neuroscience and biological research.
  • Ability to communicate regularly and effectively with lab members.

Nice to have

  • Master’s degree or experience in neuroscience, machine learning, computational biology, statistics, data science, or a related field.

Culture & Benefits

  • Summer internship within the Joy Lab.
  • Opportunities for professional growth and development of novel computational methods.
  • Close collaboration with researchers and exposure to relevant biological questions and scientific literature.
  • Potential for remote work with ongoing communication requirements.

Hiring process

  • Submit a CV and a cover letter describing interest in the position.

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