Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Bocconi University
- Eurac Research
- European University Institute
- Fondazione Bruno Kessler
- Human Technopole
- IIGM Italian Institute for Genomic Medicine
- Istituto Italiano di Tecnologia
- OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale)
- UNIVERSITA DI TERAMO
- University of Trento
- Università Commerciale L. Bocconi
- 2 more »
- « less
-
Field
-
legacy and our future. Be part of it. At IIGM diversity is an integral part of our culture and identity and for this we have adopted a plan for gender equality (GEP). We promote diversity and inclusion
-
researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
-
/project: The Institute for Biomedicine at Eurac Research is looking for a highly motivated researcher to join the Biomedical Informatics Group as part of the MetaRbolomics4Galaxy project
-
embracing diversity, we believe science can achieve its fullest potential. THE ROLE You will be working in a multicultural and multi-disciplinary group, where junior and senior scientists collaborate, each
-
-mail PROTOCOLLO@PEC.UNITE.IT Requirements Research FieldMedical sciences » OtherEducation LevelPhD or equivalent Additional Information Work Location(s) Number of offers available1Company
-
) to large-scale biomedical datasets. These models will be used to work with different types of data from the healthcare and biological domains, including genomic profiles, and clinical event sequences
-
, communication algorithms) Parallel programming models and runtimes for emerging architectures (e.g., processing-in-memory, SRAM-centric) Performance modelling & optimisation of ML algorithms on unconventional
-
will be carried out through the use of primary (archival) sources. Where to apply Website https://jobmarket.unibocconi.eu/?id=849 Requirements Additional Information Eligibility criteria Eligible
-
scientist with a strong biological background to lead experimental work at the nano–bio interface. The ideal candidate brings a track record evidenced by a solid publication record. Our research centers
-
institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each