22 Mar 2024
Job Information
- Organisation/Company
Warsaw University of Technology- Research Field
Biological sciences » Biology
Chemistry » Analytical chemistry
Chemistry » Instrumental analysis- Researcher Profile
Recognised Researcher (R2)- Country
Poland- Application Deadline
21 Apr 2024 - 16:00 (Europe/Warsaw)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
40- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The research topics will be related to the implementation of the project: Multispectral fluorescence supported by machine learning for the analysis of cell cocultures. The scientific goal of the project is to check the possibility of using multispectral fluorescence (2D fluorescence, EEM fluorescence) - native or supported by nanomaterials - to recognize the quantitative ratio of individual cell types in cell cocultures.
This work will include:
- study of the influence of cell density on EEM spectra for various cell types
- development and optimization of the fabrication procedure of cell cocultures, development and optimization of the procedure for acquiring EEM spectra for cell cocultures
- creation of a library of EEM spectra for cell cocultures characterized using traditional methods
- data mining using basic machine learning methods and/or advanced numerical processing methods, analysis of correlations between EEM spectra and coculture parameters.
The candidate should have valuable publications (scientific publications, patent applications/patents) as well as experience in conducting research projects.
Requirements
- Research Field
- Biological sciences » Biology
- Education Level
- PhD or equivalent
- Research Field
- Chemistry » Analytical chemistry
- Education Level
- PhD or equivalent
- Research Field
- Chemistry » Instrumental analysis
- Education Level
- PhD or equivalent
Skills/Qualifications
The candidate should have a PhD degree in chemistry, biotechnology or related field. The candidate is expected to have experience in the research directions listed below:
1. research conducted on cell cultures
2. multispectral fluorescence
3. machine learning/chemometrics (including Matlab/Solo/Python)
3. Characterization and modification of nanomaterials
4. experience in using artificial intelligence methods preferred (not required).
5. experience in creating and testing cell cocultures preferred (not required).
His/her scientific achievements should be documented by the authorship of papers related to the profile of the announced research position. Capability of leading independent research activity is a necessary.
- Languages
- ENGLISH
- Level
- Excellent
- Languages
- POLISH
- Level
- Excellent
- Years of Research Experience
- 1 - 4
Additional Information
Additional comments
Prof. Patrycja Ciosek-Skibińska, PhD, DSc, Eng, Gmach Chemii, ul. Noakowskiego 3, 00-664 Warszawa, e-mail: [email protected]
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Warsaw University of Technology, Faculty of Chemistry, Chair of Medical Biotechnology
- Country
- Poland
- City
- Warsaw
- Postal Code
- 00 - 664
- Street
- Noakowskiego 3
- Geofield
Where to apply
[email protected]
Contact
- City
Warsaw- Website
http://www.pw.edu.pl- Street
Noakowskiego 3- Postal Code
00 - 664
[email protected]
STATUS: EXPIRED
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