Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- UNIVERSITY OF HELSINKI
- AALTO UNIVERSITY
- University of Turku
- Tampere University
- Academic Europe
- Finnish Food Authority
- University of Oulu
- Itä-Suomen yliopisto
- LUT University
- NATIONAL LAND SURVEY OF FINLAND
- Nature Careers
- University of Helsinki
- University of Jyväskylä
- VTT
- Åbo Akademi University
- 5 more »
- « less
-
Field
-
, AI, and other algorithmic techniques in qualitative social scientific research. In line with the interdisciplinary and reflexive ethos of DIVSOL, attention to the societal implications of AI is an
-
diversity (e.g., composition,size- and spatial distribution of trees) and diversity of other species in the forest are linked. The focus will be on understanding the spatial scales of these relationships and
-
. This position will be similar to a postdoc, but with an emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused
-
they encounter with a label of one of the languages in their repertoire. If they encounter text written in a language they have not seen before, they label it with what their algorithm deems the closest match. The
-
analyses of quantitative forest structure and species monitoring data to understand how forest structural diversity (e.g., composition,size- and spatial distribution of trees) and diversity of other species
-
basis of adaptive plasticity and its evolution. The postdoc will take a leading role in, focusing on experimental evolution under novel and variable light environments, integrating multi-omics datasets
-
project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
-
embodied and justice-oriented approaches to datafication literacy, to support human agency and mitigate algorithmic harms. The focus will be on empirical research that uses different design and game-making
-
developed by the project partners will be based on two key technologies: machine learning algorithms that generate artificial yet realistic data points (synthetic health data) and secure multi-party
-
and have a PhD in a field related to mathematical modeling and experience in optimizing industrial processes, this might be something for you! We are looking for a postdoctoral researcher (“PostDoc”) to