Senior postdoctoral researcher data science & machine learning ERC O-Health
BCN MedTech research unit of the Department of Information and Communication Technologies - Universitat Pompeu Fabra (Barcelona, Spain)
O-Health is a Consolidator grant from the European Research Council, awarded by the European Commission under the HORIZON Action. It is led by Prof. Jérôme Noailly.
O-Health proposes a scalable ecosystem of multiscale NCD models interrelated through a body-wide systemic model of low-grade inflammation. The project tackles such vertical and transversal physiology-based computational modelling through four major NCD, lung emphysema, atherosclerosis, intervertebral disc degeneration and knee osteoarthritis that affect load-bearing organs at different anatomical locations.
Requirements:
- Hold a BSc and a MSc in either Mathematics, Computer Science, Data Science or any related field
- Have a PhD title, with a doctoral thesis focussed on data science and machine learning /artificial intelligence
- Have at least two years of demonstrable postdoctoral in data science and machine learning /artificial intelligence in health or biomedicine
- Be able to demonstrate a proficient level of English, both written and spoken. Language certificate is not mandatory but proper English level will have to be demonstrated during the interview (see selection criteria)
More info on the project, the position and the selection
Application deadline: 15 June 2023
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Post-Doctoral Research Visit F/M Robust mapping of cell morphology from human diffusion MRI data combining numerical simulations and machine learning
Inria Saclay-Île-de-France Research Centre
The post-doc will be recruited within the Idefix Team at Inria Saclay, France and will work on a joint project between the Idefix Team and University College London, UK and Cardiff University, UK. The three supervisors are:
- Jing-Rebecca Li, Research Scientist (DR2), Equipe IDEFIX, INRIA Saclay, UMA ENSTA Paris, France, li@inria.fr, https://perso.ensta-paris.fr/~jing-rebecca.li
- Gary Zhang, Professor of Computational Imaging, Dept of Computer Science, Faculty of Engineering Science, University College London, United Kingdom, zhang@ucl.ac.uk, https://iris.ucl.ac.uk/iris/browse/profile?upi=HZHAN50
- Marco Palombo, Associate Professor (Senior Lecturer), Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology & School of Computer Science and Informatics. Cardiff University, United Kingdom, palombom@cardiff.ac.uk, https://www.cardiff.ac.uk/people/view/2571014-palombo-marco
Qualifications needed:
- Recent PhD in Applied Mathematics, Computer Science or Biomedical Engineering;
- Programming skills in Matlab and Python;
- Experience in mesh generation and machine learning;
- Clear communication skills in speaking and writing;
Deadline for application 18 June 2023
More info and application HERE
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PhD Positions in Health & Technologies
Alma Mater Studiorum - University of Bologna
- A data lake-based approach for rapid ingestion, integration, and mapping of multiple health data types and sources: a digital twin in healthcare as use case. Tutor prof. Sabato Mellone
- Holistic Digital twins of neuromotor developmental trajectory in infancy and childhood for a healthy future population. Tutor prof. Rita Stagni
- Digital biomarkers discovery for non-communicable diseases. Tutor prof. Lorenzo Chiari / prof. Cristiana Corsi
- Capturing hallmarks predicting the transition from pre-clinical to disease state in Parkinson's and Alzheimer's by a multilayered approach. Tutor prof. Valerio Carelli
- Physiology-driven, sustainable, and technological approaches to large-scale prevention of falls. Tutor prof. Alessandro Silvani
- Digital tools for de-prescribing in frail older persons. Tutors prof. Marco Domenicali and prof Elisabetta Poluzzi
- Digital twins informed by wearable sensors to predict joint loads in the real world. Tutor prof. Marco Viceconti
- Digital twins to prevent the risk of joint replacement failure in patients affected by neurodegenerative disorders. Tutor prof. Marco Viceconti
- Prevention of vertebral fractures: digital diagnosis and computational modelling of vertebrae affected by metastasis. Tutor prof. Luca Cristofolini
Deadline for application 20 June 2023
More info and application HERE
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Postdoctoral Training in Modeling of Hypertension and Cardiorenal Diseases
Department of Physiology - University of Mississippi Medical Center
This position is in the computational research lab within the Department of Physiology at the University of Mississippi Medical Center. The research focus is continuing the computational simulation of human physiology started by Dr. Arthur Guyton. Prior experience or a willingness to learn integrative physiology is essential. Opportunities are available to work on multiple projects to address clinically relevant questions in cardiovascular and renal disease.
Position qualifications
Minimum:
- Doctoral degree from an accredited institution and appropriate experience and training within a selected area of specialization. Must meet university criteria for appointment to the rank of Postdoctoral Fellow and requires successful completion of a background check.
Preferred:
- MD or PhD in the Biological Sciences
- Strong background in integrative physiology
- Excellent writing and communications skills
- Prior experience in molecular biology and/or in animal physiology
- Previous experience with data analysis and working with clinical data sets
- Machine learning or other predictive analytic techniques
Research duties include researching and understanding experimental and clinical literature, designing experiments, simulating the experiments, assisting the PI in writing manuscripts and grants, and collaborating with other scientists and physicians at UMC.
Expressions of interest should be sent to Asst. Prof. John Clemmer jclemmer@umc.edu
