Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
. Probabilistic techniques in mathematical physics, including their formalization. This position is associated with Kalle Kytölä’s research group, part of the Finnish Centre of Excellence in Randomness and
-
the Finnish Center for Artificial Intelligence . His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often
-
Chemie International Edition 2016, 55, 669 (DOI: 10.1002/anie.201509302). The research integrates electrochemistry, molecular design, and development of novel synthetic methods. The job requires
-
is recommended. Experience in molecular nanotopology, foldamer chemistry, or oligophenylene synthesis is particularly relevant. Prerequisites for the positions include thorough working methods, team
-
disorders) with the aim to clinically validate the methods and promote their translation to healthcare. The positions are funded from Research Council of Finland project 'VR2Real: Precision diagnostics
-
identification algorithms that directly interface with physical hardware. We work closely with industry partners, and our research has led to several methods now used in commercial products. We are part of
-
, with flexibility to choose their approach and methods within the project’s overarching aims. They will prepare scientific publications and engage actively in collaboration within the project’s
-
concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
-
will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
-
computing in large-scale omics data analysis. Your work will focus on method development and their application to biomedical research questions. Key responsibilities include: analyzing and modeling large