Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköping University
- Lunds universitet
- SciLifeLab
- Blekinge Institute of Technology
- Chalmers tekniska högskola
- Jönköping University
- Karlstads universitet
- Kungliga Tekniska högskolan
- The University of Gothenburg
- Umeå University
- Örebro University
- Chalmers tekniska högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- KTH
- Lulea University of Technology
- Stockholms universitet
- Swedish University of Agricultural Sciences
- University of Borås
- University of Lund
- University of Skövde
- Uppsala universitet
- chalmers tekniska högskola
- 15 more »
- « less
-
Field
-
Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg | Sweden | 3 months ago
mechanisms in normal neural development (demonstrated by us and colleagues) and may harbor cues for novel treatment strategies. Omics data can be used in black box machine learning algorithms to classify or
-
in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super
-
with catalysis/photochemistry Programming skills using Python and MATLAB Analysis of complex scientific data through machine learning What you will do Plan experiments together with your supervisor and
-
the Limnology program (https://www.uu.se/en/department/ecology-and-genetics/research/limnology ), which, together with its field station at the lake Erken (https://www.uu.se/en/department/ecology-and-genetics
-
at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data
-
will be part of the Bojar group, which specializes in machine learning and systems glycobiology, and will be financed by an ERC Starting Grant. Doctoral studies comprises four years of full-time study
-
computational methods used in the group, and effective communication between these disciplines will be crucial. The PhD student will be part of the Bojar group, which specializes in machine learning and systems
-
, Computer Science, Bioinformatics, Machine Learning or related fields. You need excellent programming skills and an ability to design and implement machine learning-based projects. You need a strong
-
, Environmental Engineering, or a closely related field, including courses in hydraulics/fluid mechanics. Knowledge of Python programming, machine learning (ML) or AI is a plus. Experience in hydrodynamic modelling
-
related field, including courses in hydraulics/fluid mechanics. Knowledge of Python programming, machine learning (ML) or AI is a plus. Experience in hydrodynamic modelling of water systems is required, and