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...

Intern, Innovation

Salary undisclosed
Checking job availability...
Original
Simplified
About SG EnableAs the first-stop and focal agency for disability in Singapore, SG Enable raises awareness on disability issues and facilitates access to disability schemes and services. It brings partners together to share knowledge, collaborate and innovate, striving towards a common goal of building an inclusive Singapore and enabling lives. Set up by the Ministry of Social and Family Development in 2013, it is a registered charity and an Institution of a public character.About the DivisionInnovation Division establishes unique enterprises and capabilities to serve the disability sector. It also works with other divisions to align unmet needs and manage projects that attain scale of operations. A new and additional focus of the division will be to leverage existing, well-curated public disability databases to analyze distinct or cross-cutting domains and questionnaires that allude to program-planning and resourcing.For more information on SG Enable, please visit https://www.sgenable.sg.Job DescriptionThere are many underpinning functional and biological differences that can contribute to selected profiles of Persons-with-Disabilities (PwD). Current methods to categorize PwDs for subsequent training and employment may be confounded by a lack of granularity in describing clinical phenotypes. We propose a study where machine learning and statistical analyses are applied to advanced international public datasets in countries where inclusiveness is a key component of societal norms. Our goal is to evaluate profiles that can be adopted in our existing frameworks, inform predictive outcomes validated in advanced, independent and publicly available PwD cohorts. The successful candidate will attend public seminars at universities with the supervisor for exposure to the research community. He/she will also attend the supervisor's external lab or group meetings for increased interactions with the research community. All discussions with the candidate will be based on public datasets.Key Duties & Responsibilities / Work AreasThe undergraduate full-time student intern will be enrolled through universities in Singapore that have supercomputing infrastructure. A full faculty advisor will co-supervise the student (to be decided by SG Enable supervisor). This partnership ensures that the project will be executed in a scientifically robust manner with conclusive outcomes. The skills acquired will entail developing machine learning algorithms to query parameters that can inform categorization of PwDs for more targeted training and/or employment. These bioinformatical skills are not entirely novel as they are already applied in different context to other sectors; thus, the student will learn the essential thought process in function-driven evaluation.Requirements
  • Good spoken and written English.
  • Analytical, scientific mindset.
  • Open to new technologies and analytical tools.
  • Proficiency in specialized software is an asset but not compulsory (e.g. Clarivate patent-mining, R programming).
The interview process will encompass live evaluation of case studies.Application InstructionsPlease apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

InternSG

About SG EnableAs the first-stop and focal agency for disability in Singapore, SG Enable raises awareness on disability issues and facilitates access to disability schemes and services. It brings partners together to share knowledge, collaborate and innovate, striving towards a common goal of building an inclusive Singapore and enabling lives. Set up by the Ministry of Social and Family Development in 2013, it is a registered charity and an Institution of a public character.About the DivisionInnovation Division establishes unique enterprises and capabilities to serve the disability sector. It also works with other divisions to align unmet needs and manage projects that attain scale of operations. A new and additional focus of the division will be to leverage existing, well-curated public disability databases to analyze distinct or cross-cutting domains and questionnaires that allude to program-planning and resourcing.For more information on SG Enable, please visit https://www.sgenable.sg.Job DescriptionThere are many underpinning functional and biological differences that can contribute to selected profiles of Persons-with-Disabilities (PwD). Current methods to categorize PwDs for subsequent training and employment may be confounded by a lack of granularity in describing clinical phenotypes. We propose a study where machine learning and statistical analyses are applied to advanced international public datasets in countries where inclusiveness is a key component of societal norms. Our goal is to evaluate profiles that can be adopted in our existing frameworks, inform predictive outcomes validated in advanced, independent and publicly available PwD cohorts. The successful candidate will attend public seminars at universities with the supervisor for exposure to the research community. He/she will also attend the supervisor's external lab or group meetings for increased interactions with the research community. All discussions with the candidate will be based on public datasets.Key Duties & Responsibilities / Work AreasThe undergraduate full-time student intern will be enrolled through universities in Singapore that have supercomputing infrastructure. A full faculty advisor will co-supervise the student (to be decided by SG Enable supervisor). This partnership ensures that the project will be executed in a scientifically robust manner with conclusive outcomes. The skills acquired will entail developing machine learning algorithms to query parameters that can inform categorization of PwDs for more targeted training and/or employment. These bioinformatical skills are not entirely novel as they are already applied in different context to other sectors; thus, the student will learn the essential thought process in function-driven evaluation.Requirements
  • Good spoken and written English.
  • Analytical, scientific mindset.
  • Open to new technologies and analytical tools.
  • Proficiency in specialized software is an asset but not compulsory (e.g. Clarivate patent-mining, R programming).
The interview process will encompass live evaluation of case studies.Application InstructionsPlease apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

InternSG