Postdoc Deep-learning Characterization of Engineered Cells Cultivated Meat

Contribute your computer vision and software skills to engineer the next generation of cell lines for cost-effective, scalable and delicious cruelty‑free meat!

‘Cultivated meat’, the production of genuine meat products from in vitro culture of animal cells, is an emerging biotechnology within the field of cellular agriculture with the potential to revolutionise food production from both an environmental and ethical perspective. Unfortunately, higher eukaryotic cells have severe limitations when cultured in vitro, including limited cellular lifespans, slow proliferation rates and demanding medium requirements.

Characterizing cell properties and identifying cell lines with promising phenotypes typically require months‑long, expensive characterization experiments.

Modern computer vision pipelines can significantly speed up this characterization process! We are hiring a postdoctoral scientist to join the group for a fully‑funded project of 2 years. Within the Computer Vision Lab at TU Delft, you will build deep‑learning based vision pipelines to preprocess, segment cells and perform phenotype classification and regression on a variety of microscopy images. You will deal with images from multiple microscopy domains, in order to predict important cell parameters to determine the viability of cell lines.

You will deal with curating large amounts of data obtained from novel cell lines by the Flack group, and collaborate with microscopy scientists on data acquisition questions.

We’re looking for someone with excellent software development and object‑oriented programming skills, ideally with some experience in biomedical image processing.

Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches. There will be ample opportunities to supervise PhD, MSc and BSc students in the group, and to become familiar with grant writing and funding acquisition. Career advice and discussion will be available for both academic and industry‑minded scientists.

We are a friendly, dynamic and diverse group, performing research on a wide‑range of computer vision and machine learning topics. We are looking for highly motivated candidates with strong project management and communication skills who are excited to grow with us in this interdisciplinary project.

Successful candidates will be embedded within the larger Pattern Recognition and Bioinformatics Group. For more information about the group, please refer to https://(Use the "Apply for this Job" box below).-bioinformatics

For more information about the Flack group see https://-group

For information about the TU Delft Graduate School, please visit https:///phd

We are looking to build a diverse and complementary project team. Applicants should have or expect to receive a PhD in Computer Science, Engineering or a related field. Experience in some or all of the following or related fields are preferred: biomedical image processing, image or signal processing, software development, machine learning, and pattern recognition.

• very strong programming skills and experience with deep learning libraries;
• strong python and object‑oriented programming skills;
• experience in developing and documenting large software pipelines, including some familiarity with frameworks such as Docker and Weights & Biases;
• extensive experience with computer vision and managing large datasets;
• curiosity and critical thinking skills;
• the ability to work in a multi‑disciplinary team;
• motivation to meet deadlines;
• curiosity or willingness to learn about the relevant biology and microscopy research;
• good oral and written communication skills;
• an interest in communicating their research results to a wider audience;
• an aptitude for guiding students;
• proficiency in English;

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