Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- Linköping University
- SciLifeLab
- University of Lund
- KTH
- IFM, Linköping University
- IFM/Linköping University
- Karolinska Institutet (KI)
- Linköpings universitet
- Lulea University of Technology
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- SLU
- Sveriges Lantbruksuniversitet
- Umeå University
- Umeå universitet
- Uppsala universitet
- 10 more »
- « less
-
Field
-
for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and written Swedish. Assessment of the applicants will primarily be based on scientific merits and potential as researchers. Special
-
deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
-
, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and molecular biology, but
-
immunostaining of cells and tissues, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and
-
and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
-
Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research
-
Malmsten) whom together with additional professors within COMMONS will guide the projects and the training of the recruited postdocs towards leading academic or industrial research positions. This post
-
and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational
-
coordinated by LINXS Institute of advanced Neutron and X-ray Science. AMBER is funded by the EU Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 15 postdocs will be recruited in the fifth call 2026, with
-
Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 15 postdocs will be recruited in the fifth call 2026, with each fellowship lasting 36 months. AMBER has six core partners: Lund University/MAX IV