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 Officer

Salary undisclosed
Checking job availability...
Original
Simplified
SingHealth Duke-NUS Institute of Biodiversity Medicine (BD-MED) is a newly established Joint Research Institute under the SingHealth and Duke-NUS Academic Medicine partnership. BD-MED will focus on the science of plant genomics and biology in regional herbs and food plants with the mission of “translating biodiversity studies to impact medicine and health”. We are seeking a highly motivated Bioinformatics Research Officer to join our research team. The successful candidate will be responsible for designing studies and integrating multi-omics data. This role requires expertise in bioinformatics, statistical analysis, and multi-dimensional data interpretation to empower our team towards becoming a global leader in translational biodiversity medicine.Job Description:
- Conduct statistical analyses, including Principal Component Analysis (PCA), Orthogonal Projections to Latent Structures (OPLS), differential analysis, and biomarker identification.
- Develop and apply machine learning or computational models to extract meaningful insights from complex datasets.
- Integrate and analyze multi-omics datasets, including, gut and skin microbiome profiles, Clinical metabolomics, metagenomic, O-Link proteomics, epigenetics, and transcriptomics.
- Implement computational pipelines for multi-layered biological data integration.
- Identify potential biomarkers and pathways associated with health and disease states.
- Contribute to project management, presentations, manuscript preparation & submission for publications.Requirements:
- Bachelor's / Master's Degree in Bioinformatics, Computational Biology, Biostatistics, or a related field.
- Proven experience in clinical sample analysis using metagenomic and metabolomics MS techniques.
- Strong expertise in statistical methods (PCA, OPLS-DA, differential analysis, etc.).
- Proficiency in R, Python, or other bioinformatics tools for multi-omics data analysis.
- Experience in microbiome analysis and systems biology approaches is highly desirable.
- Strong problem-solving skills and ability to work in interdisciplinary research teams.
- Excellent communication skills and ability to present complex data effectively.Interested candidates should email their CVs to Koh Liang Kai (koh.liang.kai@nccs.com.sg) and copy Dr. Khwanta Kaewnarin (khwanta.kaewnarin@nccs.com.sg)
SingHealth Duke-NUS Institute of Biodiversity Medicine (BD-MED) is a newly established Joint Research Institute under the SingHealth and Duke-NUS Academic Medicine partnership. BD-MED will focus on the science of plant genomics and biology in regional herbs and food plants with the mission of “translating biodiversity studies to impact medicine and health”. We are seeking a highly motivated Bioinformatics Research Officer to join our research team. The successful candidate will be responsible for designing studies and integrating multi-omics data. This role requires expertise in bioinformatics, statistical analysis, and multi-dimensional data interpretation to empower our team towards becoming a global leader in translational biodiversity medicine.Job Description:
- Conduct statistical analyses, including Principal Component Analysis (PCA), Orthogonal Projections to Latent Structures (OPLS), differential analysis, and biomarker identification.
- Develop and apply machine learning or computational models to extract meaningful insights from complex datasets.
- Integrate and analyze multi-omics datasets, including, gut and skin microbiome profiles, Clinical metabolomics, metagenomic, O-Link proteomics, epigenetics, and transcriptomics.
- Implement computational pipelines for multi-layered biological data integration.
- Identify potential biomarkers and pathways associated with health and disease states.
- Contribute to project management, presentations, manuscript preparation & submission for publications.Requirements:
- Bachelor's / Master's Degree in Bioinformatics, Computational Biology, Biostatistics, or a related field.
- Proven experience in clinical sample analysis using metagenomic and metabolomics MS techniques.
- Strong expertise in statistical methods (PCA, OPLS-DA, differential analysis, etc.).
- Proficiency in R, Python, or other bioinformatics tools for multi-omics data analysis.
- Experience in microbiome analysis and systems biology approaches is highly desirable.
- Strong problem-solving skills and ability to work in interdisciplinary research teams.
- Excellent communication skills and ability to present complex data effectively.Interested candidates should email their CVs to Koh Liang Kai (koh.liang.kai@nccs.com.sg) and copy Dr. Khwanta Kaewnarin (khwanta.kaewnarin@nccs.com.sg)