Location: Champalimaud Centre for the Unknown, Lisbon
Employer: Champalimaud Foundation
Job Type: Full Time
Position: Postdoctoral Positions
Application Starts: 26 Jul. 2021

Fundação D. Anna de Sommer Champalimaud e Dr. Carlos Montez Champalimaud (Champalimaud Foundation), a private, non-profit research institution, is opening a call for a Postdoctoral Researcher for Papanikolaou group.

Eligible candidates must hold a PhD or Doctorate degree and will be offered an employment contract with unknown term, within the scope of the research project entitled “ProCancer-i”; with the reference “952159” – from the call Nº H2020-SC1-FA-DTS-2019-1, funded by the European Union’s Horizon 2020 research and innovation programme.

The contract is to be entered into by and between the Champalimaud Foundation and the selected candidate in accordance with all applicable legislation, including Law-Decree 57/2016, of the 29 of August of 2016 in its current edition and the General Labour Code, as well as the internal rules and regulations of the Champalimaud Foundation, taking into account the conditions set out in the above mentioned Law-Decree for the recruitment of PhD Holders within the scope of research projects funded by public funds
Work Plan

Participate in the development of Deep Learning based models and Radiomics Signatures that will be extracted from mpMRI images from a total number of 17000 patients with prostate cancer, with a focus on statistical analysis concepts including but not limited to feature selection/reduction, ML modelling using survival analysis and other clinical outcomes.

Highlights

ProCAncer-I in the IEEE-MeMeA Conference in Taormina

ProCAncer-I in the IEEE-MeMeA Conference in Taormina

We are looking forward to participating it the upcoming IEEE-MeMeA Conference in Taormina! The 17th edition of IEEE International Symposium on Medical Measurements and Applications will take place in Giardini Naxos, Taormina in the metropolitan area of Messina,...

1st ProCAncer-I Project Dissemination Event in Vienna

1st ProCAncer-I Project Dissemination Event in Vienna

We are really happy to announce that we will be present at the ECR Congress in Vienna on 13 - 17 of July 2022. During the congress, a special Session will take place  on the 15th of July, presenting and discussing on the ProCAncer-I project with the title: Building...

Use Cases mapped along the prostate cancer management continuum

Use Cases mapped along the prostate cancer management continuum

Nowadays, prostate cancer is highly curable if detected in its early stages. Indeed, when organ-confined at diagnosis, the five-year survival rate of prostate cancer is close to 100%. Unfortunately, current prostate cancer diagnostic pipeline has several limitations. Prostate specific antigen (PSA) has a low sensitivity and specificity.

👏New paper published! 👏
How the ability of radiomic features to discriminate different image textures varies with the volume of the analyzed region.
➡️ https://www.mdpi.com/2076-3417/12/11/5465
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#cancer #reasearch #health_data #data_imaging #artificialintelligence #ai #health #data

We are looking forward to participating it the upcoming IEEE-MeMeA Conference in Taormina with a👉 special session & a👉study!
Read more 👉https://www.procancer-i.eu/news/procancer-i-in-the-ieee-memea-conference-in-taormina/

#H2020 #EU_HEALTH #artificialintelligence #ai #health #data #IEEE #memea2022

Professor Tsiknakis took part in a recent feature in the @EUCouncil site on data availability in the 🇪🇺EU🇪🇺 and the use of #data for research purposes and innovation. Read more ⬇️
https://bit.ly/3NLvpD0
#ai #data #H2020 #EU_HEALTH

Nowadays, #prostatecancer diagnosis is not ideal. It usually requires a painful procedure and is not always exempted from certain side effects. So, is it possible to detect this pathology in a non-invasive way?
https://bit.ly/3mtX8ft
#AI

👏Congrats!👏
New conference presentation "On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness" at the workshop "Medical Transformers" afferent to the #ICIAP2021
#H2020 #EU_HEALTH #cancer #reasearch #health_data #data_imaging #ai

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