Epicareer Might not Working Properly
Learn More
Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
Any Question? Contact us
logo
Jobs or company...

Research Assistant (IORA)

Salary undisclosed

Apply on

IndeedSG

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified

Date: 24 Sep 2024

Location: SPECIALTY RESEARCH INST/CTRS, Kent Ridge Campus, SG

Company: National University of Singapore

Job Description

A. Overall Work Objective:

The Research Assistant will contribute to the ongoing research project "Maternal Self- and Other-Referential Processing as a Target for Screening and Intervention (MaSelf)," focusing on the application of machine learning models for mental health screening and intervention. This role involves assisting with data collection, model development, and analysis, contributing to advancements in maternal mental health research.

B. Key Responsibilities & Services/Obligations:

1. Conduct Research and Analysis:
  • Assist in conducting literature reviews and gathering relevant data.
  • Collaborate on the development and testing of machine learning models.
  • Analyze data and provide insights.

2. Data Management:
  • Prepare, clean, and process datasets for machine learning applications.
  • Ensure proper documentation of research data and model results.

3. Collaborative Development:
  • Work closely with the PI and the project team to design and implement experiments.
  • Assist in the development of mental health screening tools and interventions based on the research findings.

4. Reporting & Updates:
  • Participate in online meetings with the Principal Investigator (PI) and team to discuss research progress, share updates, and contribute to problem-solving discussions.
  • Provide regular written or oral updates on research tasks, challenges, and outcomes.

Requirements

  • Bachelor’s Degree in Computer Science, Data Science, or a related field.
  • Interest in mental health research
  • Basic understanding of machine learning techniques and data analysis.
  • Proficiency in Python or similar programming languages for data science.
  • Strong communication skills for reporting and discussions with the research team.
  • Ability to work independently and collaboratively.

This is an excellent opportunity for recent graduates to gain hands-on experience in an interdisciplinary research project that combines mental health, machine learning, and psychology. If you are passionate about contributing to the development of innovative tools for maternal mental health, we encourage you to apply.
Similar Jobs