Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
machine learning and AI for clinical decision support. Develop, train, and validate predictive and explainable models using large-scale clinical registry data. Work closely with clinical collaborators
-
will redefine the landscape of computing. Join our fantastic team of researchers and engineers in the beautiful and vibrant city of Gothenburg, on the Swedish west coast. Information about the project
-
integrate and analyze large-scale clinical registry data in close collaboration with Sahlgrenska University Hospital, aiming to create predictive, interpretable, and clinically actionable models
-
multiple opportunities to participate in professional and personal development training. Through her/his work she/he will gain a unique skill-set at the interface between modelling and prototyping
-
is limited to four years, with the possibility to teach up to 10%, which extends the position to 4.5 years. A fixed salary of 39,900 SEK per month, valid for Marie-Curie funded PhDs. A family allowance
-
to benchmark results, validate models against fabricated amplifier designs, and - very importantly - guide technology development Publish results in leading journals and conferences, and supervise PhD students
-
beyond traditional models and bring research closer to real-world clinical applications. About the research project We are offering a 2 year postdoctoral position to an ambitious researcher who is
-
13 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Computer systems Computer science » Other Researcher Profile Recognised
-
25 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Country Sweden
-
University of Gothenburg as principals. The position is placed in the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from