Seeking Editorial Experts for Machine Learning Journal
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We are currently looking for experienced researchers and scientists to join our editorial board.
The ideal candidate will contribute to the development and growth of the journal by providing scholarly input, including selecting topics, reviewers, and authors.
Responsibilities include:
1. Actively contributing to the development and growth of the journal
2. Contributing or soliciting special thematic issues on trending topics
3. Reviewing articles submitted to the journal in their area of expertise
Requirements:
* PhD with experience in machine learning research in clinical, medical, and pharmaceutical research, and related subject areas
* At least 5 years of experience in peer-reviewing, editing, and writing research papers
* Verifiable record of publications in peer-reviewed journals indexed in WOS Core Collection and/or Scopus
* Ability to communicate clearly and timely with stakeholders in the English language
Benefits:
* Saving APCs on publishing research
* Access to new research and review papers as they are submitted to the journal
* Opportunity to connect with professionals, scholars, and experts on our editorial board
About Machine Learning Research:
Machine learning is a subfield of artificial intelligence that involves training algorithms to learn from data.
It has various applications in finance, healthcare, robotics, and more.
The journal covers areas such as active learning, adversarial machine learning, anomaly detection, and deep learning.
The goal is to provide a comprehensive and reliable source of information on current advances and future perspectives in machine learning.
Job Type: Full-time
Experience: At least 5 years
Education: PhD
Language: English
Work Location: Remote