High Throughput Digital Analysis Of Wsis Images For Improved Bc Subtypes And Relapse Prediction -...

Universities and Institutes of Italy


September 30, 2022


  • Organisation/Company: Università di Udine
  • Research Field: Other
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 30/09/2022 23:00 - Europe/Brussels
  • Location: Italy › Udine
  • Type Of Contract: Other
  • Job Status: Other
  • Eu Research Framework Programme: H2020 / Marie Skłodowska-Curie Actions
  • Marie Curie Grant Agreement Number: 101073222
  • Prof. Vincenzo Della established at the at the Department of Mathematics, Computer Science and Physics at the Udine university (Udine, Italy), are interested in receiving Expressions of Interest of potential candidates for the Marie Sklodowska – Curie Doctorate Network (MSCA-DN-2021) call.

    The title of the proposed project: High throughput digital analysis of WSIs images for improved BC subtypes and relapse prediction

    The overarching goal of our project is to study image analysis methods, involving also but not exclusively deep learning techniques, to enable decision support for the pathologist when defining breast cancer subtypes and prognosis.

    For BosomShield, we are looking for a doctorate candidate will have the following responsibilities:

    She/he will collaborate with diverse teams of scientists and engineers to build an advanced system for BosomShield.

    She/he will design and develop cutting edge methods based on brittle computer vision, machine learning and deep learning algorithms.

    She/he will help advance R&D by finding problems, implementing elegant solutions, and building tools that enable the team to move forward and to measure progress in the specific field of digital pathology.

    We are looking for talented and innovative self-motivated young scientists, strongly committed to high quality frontier and multi-disciplinary research and able to add new insights to the existing University of Udine core expertise. The Department of Mathematics, Computer Science and Physics as Hosting Institution located at the University of Udine (Udine, Italy), in collaboration with the local Institute of Pathology, has all the technical and scientific facilities for carry out this project.

    The Medical Informatics, Telemedicine and eHealth Lab of the Dept. of Mathematics, Computer Science and Physics has expertise in both digital pathology and biomedical classifications. Regarding digital pathology, in the past it has been involved in the COST EUROTELEPATH action (2007-2011), in the MSCA IAPP AIDPATH project (2013-2017) and other smaller national or regional projects. Vincenzo Della Mea, head of the lab, is among the founding members of the European Society for Digital and Integrative Pathology (ESDIP) and currently member of its Executive Board; it has been vice- president of the Italian Society for Biomedical Informatics (SIBIM), and currently member of its Executive Board.

    Images and clinical expertise will be available thanks to the collaboration with the University Hospital of Udine (ASUFC).

    Eligibility criteria

    At the attempted deadline for the submission of the proposals (30/09/2022):

    Early Stage Researcher:

    Knowledge of deep learning concepts and experience with deep learning environments (eg.: TensorFlow, PyTorch, etc).

    Excellent practical software engineering ability, particularly Python and C/C++.

    Knowledge of medical image analysis and working with image data.

    Masters degree is mandatory. Applicants can participate in the competition, if they obtain their master's degree by the beginning of the MSCA project position (non later than December 31, 2022). Applicants who do not obtain the degree by the beginning of the MSCA project position, will be excluded.

    Collaborative spirit.

    Nationality: Any.

    Mobility: The researcher must not have resided or carried out his/her main activity (work, studies, etc.) in the country of the host organization for more than 12 months in the 3 years immediately prior to the deadline for submission of proposals (a relaxed rule for Career restarting and Reintegration).

    Must be fluent in English (both written and spoken).

    Selection process

    Researchers willing to apply should check that they fulfil the eligibility criteria and then send an expression of interest, consisting of:

    Scanned copy of identity card, resident's card or passport currently in force.

    Curriculum Vitae (Any research career gaps and/or unconventional paths should be clearly explained so that this can be fairly assessed by the evaluators; if you are a forcibly displaced researcher, please explain your situation in the CV; if you have been residing in Country in the last 3 years please provide the exact duration and motives of your stay and be prepared to provide the documentation proving it during the redress phase if required by the Project Manager). We strongly recommend you to use the Europass CV template.

    Scanned copy of the certificate of the official academic qualification. Students who hold Master's degrees should present the scanned copies of their master's degrees. Students who are registered in an official university master's course must present a scanned copy of their master's course registration form.

    Scanned copy of academic transcript of the qualification equivalent to a bachelor's degree.

    Scanned copy of academic transcript of the master's degree. Candidates who have not completed their Master's degrees must send their provisional academic transcript.

    Two signed and scanned reference letters. We will not contact the referees on your behalf.

    A motivation letter, explaining his expertise and how the candidate is suited for the position she/he applies for.

    Additional comments


    Expressions of interest must be submitted to our account through https: // bosomshield.eu/.

    DCs will be pre-selected on the basis of internal evaluation.

    Candidates will be informed of the results of the pre-selection two weeks after the deadline.

    Interview between the highest ranked candidates of the pre-selection will be organed by the supervisors to select the final candidate.

    Contact Information
  • Organisation/Company: Università di Udine
  • Department: Area Servizi per la Ricerca
  • Organisation Type: Higher Education Institute
  • Website: https:// www. uniud.it
  • E-Mail: vincenzo.dellamea@uniud.it
  • Country: Italy
  • City: Udine
  • Postal Code: 33100
  • Street: Mantica 31
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