OPPORTUNITIES
We are excited to announce two open positions in the imAIgene-lab in two projects about single cell live-imaging analysis, starting this autumn (before end of 2024).
We are looking for a talented postdoctoral researcher and/or an experienced computational expert with a master's degree.
Position Details:
Duration: 2.5 to 4 years
Competitive salary offered
What We're Looking For:
A postdoctoral researcher with a computational background desired but not exclusive experience in microscopy analysis and/or deep learning). Find more information below .
An experienced computational expert with a master’s degree, skilled in data analysis and computational techniques (image analysis or deep learning experience will be a plus)
If you are passionate about advancing the field of dynamic microscopy and eager to contribute to cutting-edge research, we would love to hear from you. For more information about the projects and to apply, please send us your CV and motivation letter.
Postdoctoral Researcher in AI-Driven Image Analysis of immunotherapy assays
Location: Instituto de Investigaciones Biomedicas Sols-Morreale CSIC-UAM
Starting data: September-October 2024
Duration: 2,5 years
Position Overview:
We are seeking a highly motivated and skilled Postdoctoral Researcher with a strong computational background, preferably with expertise in image analysis, to join Dr. Maria Alieva's imAIgene-lab. In this interdisciplinary research project we bring together experts in organoid technologies, 3D live imaging, and imaging data analysis. Our goal is to develop and implement a comprehensive assessment pipeline to evaluate the dynamics of immune cell interactions within tumor organoids under various treatments. This role involves developing and implementing AI-driven computational frameworks for high throughput imaging screens
Key Responsibilities:
- Develop an analytical framework tailored for dynamic live imaging data, compatible with high-throughput screening of PDOs in response to T cells.
- Collaborate closely with experts in organoid technologies, live imaging, and data analysis across the consortium.
- Contribute to scientific publications and present findings at international conferences.
-Implementation of the developed tools into a user-friendly interface and training of industrial consortium partner team.
- Team supervision
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related field.
- Proven expertise in image analysis, particularly in the context of biological imaging data.
- Experience with AI and machine learning techniques, especially applied to biological datasets.
- Proficiency in programming languages such as Python, R, or MATLAB.
- Familiarity with high-throughput data analysis and statistical methods.
- Strong problem-solving skills and the ability to work independently and collaboratively within an interdisciplinary team.
- Excellent written and verbal communication skills in English.
Preferred Qualifications:
- Experience with 3D single cell live imaging and analyzing dynamic imaging data.
- Background in immunology or cancer biology, specifically related to T cell dynamics.
- Knowledge of organoid culture techniques and high-throughput screening methodologies.
What We Offer:
- An exciting opportunity to work on cutting-edge research at the intersection of computational biology, AI, and immuno-oncology.
- A collaborative and interdisciplinary research environment.
- Access to state-of-the-art facilities and resources.
- Opportunities for professional development, including attending workshops and conferences.
- Competitive salary
Application Process:
Interested candidates should submit the following documents:
- A cover letter outlining your research interests and relevant experience.
- A detailed CV including a list of publications.
- Contact information for three professional references.
Deadline for Applications: 15 July 2024
Contact Information:
For more information about this position, please contact Dr. Maria Alieva at malieva[at]iib.uam.es