Development of a data visualization app to provide evidence on disease paths. This app would consume stratification models generated from population quantitative tabular clinical data. The stratification models will be generated by a machine learning classifier and pushed to the app in the form of an adjacency matrix and node attributes. The data pushed will represent a knowledge graph binary classification of healthy vs sick. It aims facilitate the access to evidence-based information. It will enable the individual to submit information about their current state of health, allowing for an understanding of its path in relation to a binary process of healthy versus sick stratification.
Goal:
Technology:
This research project is meant to be completed by a group of up to 3 students.
Objectives: The project aims to identify the differences in functional connectivity of human brain, in case of brain stroke. An already available dataset of human brain fMRI will be used to conduct the experiment As opposed to the traditional whole-brain comparisons, it will be important to report the effect of location and the size of the stroke on the connectivity differences.
Requirements: Basic understanding of coding (preferably in python), 3D/4D image and signal processing, network theory, statistics, and interest in the relevant topic.a
Postgraduate study can be a great opportunity to gain advanced training, new skills and in-depth subject knowledge. If you’re thinking about a scientific career, you’re interested in computational medicine and are looking at various options, Sano might be the perfect place for you.
Sano is a new nonprofit research institute dedicated to the advancement of computational medicine, developing sophisticated computer methods for the prevention, diagnosis and treatment of disease, to meet the overarching worldwide need for efficient, effective and streamlined healthcare.
We recognize that it is all about the skills of people involved in the project, to develop Sano into the world-class research centre for advanced computational medicine.
We’re looking for the best people around and invite all students interested in applied research within computational medicine to apply. The MSc programme at Sano is aimed at providing the next generation of healthcare technology innovators with unique skills.
By applying, you will let us know about your interest in education at Sano. We’re looking for students to work at all our Research Groups – Healthcare Informatics, Computer Vision Data Science, Modeling and Simulation, Clinical Data Science, Personal Health Data Science and Extreme-Scale Data and Computing.
We’re waiting for you!
You are expected to:
As our successful candidate you should have:
We offer a stipend contract valid until the end of 2023 (regardless of the academic calendar), and expect the student to work on the project for approx. 20 hours per week (50% FTE). This includes attendance in courses, trainings and internal research meetings. The research will be conducted in close collaboration with supervisors at Sano and AGH.
The student will receive a stipend of up to 2500 PLN gross monthly for the duration of the contract.
Sano offers excellent opportunities for study and development, an access to many international conferences on computational medicine and a possibility to grow in a scientific society.
Do you have questions about this vacancy? Or do you want to know more about our organisation? Please contact us at
Sano Centre for Computational Medicine is a new International Scientific Foundation located in Kraków, Poland.
Sano aspires to be a major translational scientific institute, operating at the meeting point of academic science, established MedTech industry, and emerging start-up environment, combining the best of these three perspectives.
Established with support from the European Commission and the Foundation for Polish Science, Sano aims to be a major driving force behind the advancement of computational medicine for the benefit of healthcare systems worldwide.
Sano acts as a core technology and expertise provider for industry, and creator of innovation, developing state-of-the-art solutions for healthcare. Thanks to the substantial funding and excellent European partnership network, Sano will bring a critical mass to this transformational field of research, in order to translate scientific advancements onto clinical practice. Sano’s ambition is to become the Reference Centre for Computational Medicine in Central Europe and build a reputation as a leading center on a global level.
As a cross-disciplinary institution, Sano uses machine learning/artificial intelligence (ML/AI), large scale computer simulations, data science, and other computational technologies towards overcoming global challenges in healthcare systems. The research agenda will be executed in close collaboration with Partners in Poland, EU and USA.
Sano is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.
Do you recognize yourself in the job profile? Then we look forward to receiving your application.
Applications in .pdf should include:
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