The MI^2 group led by Przemyslaw Biecek (University of Warsaw and Warsaw University of Technology), is a fast growing group of Data Scientists that are working on cutting edge statistical and machine learning tools with applications to molecular oncology.
Our recent developments include:
Currently we are looking for two PhD students. One position is funded from Opus 11 NCN project ,,MLGenSig: Machine Learning Methods for building the Integrated Genetic Signatures'' and one position is funded from Opus 14 NCN project ,,DALEX: Descriptive mAchine Learning EXplanations''.
In case of questions, please do not hesitate to contact with przemyslaw.biecek at gmail dot com.
If you have:
Interest in the genetics and oncology,
Interest in Machine Learning and/or Statistical Modelling (GLM is your friend),
Strong writing skills in English (if you have published anything it will be a big plus),
Strong motivation, enjoying challenges and work on hard problems.
We offer a scholarship ~3000 PLN/month (without taxes), a lot of challenging problems to solve and collaboration with interesting people.
If you have:
Interest in Artificial Intelligence and Visualisation,
Interest in Machine Learning and/or Statistical Modelling (GLM is your friend),
Strong writing skills in English (if you have published anything it will be a big plus),
Strong motivation, enjoying challenges and work on hard problems.
We offer a scholarship ~3000 PLN/month (without taxes), a lot of challenging problems to solve and collaboration with interesting people.
Send your resume and short motivation letter (in English or Polish). Include detailed list of prepared or published publications or other projects. Quality of publications will crutial. Point out one or two referees (researchers, advisor, employer) that could say something about you. Send these documents by email to przemyslaw.biecek(at)gmail com (add 'MLGenSig' or 'DALEX' to the email subject). Please, do this as soon as possible, but not later than 30 Sep 2018.