The (tentative) schedule of our summer school is now available on https://mlfpm.eu/1-summer-school/. We are also continuously adding the abstracts of the talks.
Two PhD positions in our network are open:
ESR14 will develop and apply causal inference methods and machine learning technologies applied to high dimensional cancer patients data with Prof. Michal Rosen-Zvi at the Healthcare Informatics Department in IBM Research – Haifa, Israel: https://euraxess.ec.europa.eu/jobs/436992 (Application deadline: September 4, 2019).
ESR5 will work on “Deep representations of somatic mutations and germline variants for cancer research” with Prof. Bernhard Schölkopf and Dr. Gabriele Schweikert at the Max Planck Institute for Intelligent Systems in Tübingen, Germany: https://euraxess.ec.europa.eu/jobs/438751 (Application deadline: September 13, 2019).
We are happy to be able to provide three full summer school scholarships (covering travel, accommodation, registration fees and meals) for scientist with refugee status.
Candidates with a background related to the topic of the summer school (Computer Science, Mathematics, Engineering, Medicine, Biology) should send their documents (CV, degree certificates if available, proof of refugee status and a letter explaining the interest in the summer school (max. 300 words)) by e-mail to the MLFPM Project Manager Dr. Katharina Heinrich (email@example.com) by June 23, 2019. Applications received after the deadline will not be considered.
The call was also published on Euraxess.
Save the date! The first MLFPM Summer School will take place September 9-13, 2019 in Basel (Muttenz), Switzerland.
We are looking forward to a week filled with exciting courses and talks by renown experts. More information about content and registration will be available here.
4 PhD Positions within the Marie Skłodowska-Curie ITN “MLFPM”
The Marie Curie Innovative Training Network “Machine Learning Frontiers in Precision Medicine” brings together leading European research institutes in machine learning and statistical genetics, both from the private and public sector, to train 14 early stage researchers. These scientists will develop and apply machine learning methods to health data. The goal is to reveal new insights into disease mechanisms and therapy outcomes and to exploit the findings for precision medicine, which hopes to offer personalized preventive care and therapy selection for each patient.
Besides working on their project at their home institutions, the researchers will participate in network-wide training events like summer schools and retreats. Moreover, they will conduct two secondments of three months each at other network partners.
The following positions and projects are available for the second call:
ESR1 will work on “Machine Learning for Biological Network Analysis” with Karsten Borgwardt at ETH Zürich in Basel, Switzerland.
ESR6 will work on “Clinical decision support for precision medicine” with Tobias Heimann and Volker Tresp at Siemens Healthcare GmbH in Erlangen, Germany.
ESR7 will work on “Methodology for discovery and validation of omics-based predictors for follow-up data in large population-based biobanks” with Krista Fischer at the University of Tartu in Tartu, Estonia.
ESR10 will work on “Personalized health trajectories” with Antonio Artés at Universidad Carlos III de Madrid in Madrid, Spain.
At the time of their recruitment, candidates must be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.
Moreover, candidates have to fulfill mobility conditions: they must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the recruitment date.
All researchers will be enrolled in PhD programs, so they need to have a degree that qualifies for PhD studies at the organization they apply to.
Candidates with a biological or medical background, without or with little mathematical background, are also encouraged to apply. Upon recruitment, mathematical preparation plans will be organized for these candidates where needed.
All beneficiaries will be full-time employed at their institution. Special family situations might qualify for part-time employment. The researchers are expected to conduct two secondments of three months each at other network partners.
The board of the network will evaluate all applications, and the top-ranked candidates will be invited for interviews.
How to apply
Applications have to be submitted on our application platform https://h2020mlfpm.glowbase.com/
Deadline is April 28, 2019.
The call for applications is also available on Euraxess: https://euraxess.ec.europa.eu/jobs/397305