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In vitro tissue models are regarded as a critical component of future biomedical research. Using them, researchers have demonstrated a high capacity in mimicking both tissue-specific complex phenomena and revealing the interplay between physiological tissue structures and functions over the last two decades. Current in vitro tissue models, on the other hand, are mostly created using low-throughput approaches based on prior experience, intuition, and trial-and-error methodology. Such constraints result in the creation of valuable in vitro models, albeit far from optimal. The goal of this project is to address these limitations by creating a datadriven, high-throughput workflow that includes an innovative microfluidic-assisted extrusion bioprinting (µ-eBP) system supported by advanced image analysis tools for capturing key information about in vitro neo-tissue formation dynamics. The core scientific and technical objectives of the MYO-PATH project are: i) the progress towards a deeper understanding and control of cellular dynamic processes involved in the manufacturing of artificial tissues – specifically of skeletal muscle tissue; ii) the establishment of blueprints to obtain the highest tissue functionality and scalability potential and prioritize the best cost-effective experimental conditions; iii) the generation of a developmental atlas of artificial muscle morphogenesis in vitro. We intend to achieve this goal by developing new tools - hardware and software - for all stages of µ-eBP. A multiplexed and iterative screening and optimization approach will be used to obtain blueprint information. We plan to develop microfluidic modules that will allow us to address critical, currently unmet challenges in eBP, such as i) cell sedimentation mitigation in printer cartridges and ii) bioink multiplexing. Cellular dynamics will be captured using a variety of techniques such as bright-field, confocal, and optical coherence tomography. Advanced image analysis tools, including machine learning (ML)-based tools, will be used to analyse the resulting datasets. Notably, we propose developing quasi-live and offline image analysis tools to reliably assess the best performing conditions based on two indexes: an order parameter and a myo-index.

The Post-Doc will be responsible for the development of the protocols for image analysis, 3D bioprinting and optimization of skeletal muscle culture in vitro and for the generation of the developmental of atlas maps of artificial muscle development in vitro.

It is expected that the successful candidate will be able to perform experiments independently, plan the workflow and participate in the decision-making process.

Responsibilities:

• Designing, planning, and carrying out experimental work independently, maintaining regular research notes.
• Preparation of manuscripts and reports.
• Scientific initiative and contribution through regular reporting and publishing, as well as presenting at group meetings as well as in national and international conferences;
• Providing help and supervision to junior members of the group;
• Contribution to the efficient functioning of the lab, including necessary organizational tasks.

We offer a post-doctoral position (full-time employment) in the Institute of Physical Chemistry PAS with a gross salary of around 9 600 PLN gross per month financed from the NCN SONATA BIS Project No. 2022/46/E/ST8/00284 100% of the work time of Postdoc will be devoted to the realization of the proposed project. The offer is for 24 months with possible extensions based on the performance (the maximum duration of the contract is planned for 48 months).

The successful candidate will benefit in the form of new knowledge and methods added to his/her toolbox. The project deals with  tissue engineering, software engineering, material sciences , so a broad range of candidates will find new knowledge to be gained upon the realization of the project.

We plan to publish the results of the work in high-impact factor journals.

The successful candidate will be able to take advantage of all programs in the IPC PAS, including Young Scientists of IPC PAS competition and Mobility of Young Scientists of IPC PAS competition.

The institute provides an opportunity to participate in the ERASMUS+ programme.

• PhD degree in biological, chemical or physical sciences, obtained in the year of employment in the project or within 7 years before 1 January of the year of employment in the project. For researchers with multiple PhDs, the date of the first PhD award is deemed the reference date. Extension might apply according to National Science Centre, Poland, rules.
• Preferred experience in: - Image analysis - machine learning tools for image analysis - knowledge of ML frameworks/libraries such as TensorFlow, PyTorch or similar - coding (e.g. Python, C++)

 Prior experience with engineering and characterizing artificial skeletal muscle tissue will be considered a plus.

• Publication record and rich scientific experience.
• Ability to work independently as well as in a group
• Ability to communicate fluently in English (written and spoken).
• Strong motivation to work and pursue scientific questions, creativity, and analytical thinking.

The Commission will take into account the following criteria:

a) competencies of candidates for specific tasks in a research project,

b) previous scientific achievements of candidates,

c) awards and distinctions of the candidate resulting from the conducted research.

The commission evaluates applications on a point scale.