Sort by
Refine Your Search
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Mälardalen University
- University of Lund
- Jönköping University
- Nature Careers
- Blekinge Institute of Technology
- Linnaeus University
- Uppsala University
- 3 more »
- « less
-
Field
-
effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
-
year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
-
to altered patterns of gene expression. We have assembled a unique data set of three independent lineages of Italian sparrow Passer italiae and their parental species, with data on gene expression and tissue
-
gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as vision and touch—encoding
-
mathematical modelling and data science with diverse disciplines, including ecology, plant physiology, and molecular biology. Your research will deepen our understanding of how living systems respond to stress
-
qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
-
with 1) improved methods, 2) better decision-makin data and 3) informative communication with the public, which can reduce negative effects in society and reduce elements of disinformation. Specifically
-
. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry
-
with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
-
qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary