Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Umeå University
- SciLifeLab
- Jönköping University
- KTH Royal Institute of Technology
- Linköping University
- Linköpings universitet
- Örebro University
- Chalmers University of Technology
- Chalmers tekniska högskola
- Nature Careers
- Karlstad University
- Lunds universitet
- Stockholms universitet
- Uppsala universitet
- Chalmers Tekniska Högskola AB
- European Magnetism Association EMA
- Högskolan Väst
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- KTH
- Luleå University of Technology
- Malmö universitet
- NORDITA-Nordic Institute for Theoretical Physics
- Umeå universitet
- 14 more »
- « less
-
Field
-
student in Statistics who can perform high quality statistical research. Apply January 6, 2026, at the latest. We are seeking a PhD student within the WASP-HS project “Machine learning to study causality
-
be implemented in collaboration with other groups at Department of Molecular Biology, providing excellent opportunities for the prospective candidates to expand the professional network and acquire
-
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
-
. Areas of study include perception, memory, learning, cognitive development, attention, motor control and spatial navigation. The research falls within the field of cognitive science, with a focus on
-
two years of employment, or that they apply for validation of prior learning. For other eligibility requirements, refer to Karlstad University’s Appointments Procedure . Assessment criteria In
-
. Knowledge of distributed control. Experience of machine learning algorithms and in particular reinforcement learning. You are stable, creative and persistent. We offer Lund University is a public authority
-
of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
-
to numerical analysis and optimization, as well as mathematical statistics and machine learning. The centre offers a lively academic environment where colleagues from many parts of the world come together
-
Swedish and English. A candidate who does not meet this requirement may still be hired, provided they actively work to acquire these language skills. Pursuant to Karlstad University’s Appointments Procedure
-
paraganglioma driven by cell plasticity using spatial transcriptomics and machine learning.” High-risk neuroblastoma (NB) and malignant paraganglioma (PPGL) are neural crest–derived tumors with pronounced