Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- University of Lund
- Lunds universitet
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- KTH Royal Institute of Technology
- Blekinge Institute of Technology
- Nature Careers
- Karolinska Institutet (KI)
- Lulea University of Technology
- Mälardalen University
- Umeå universitet
- Umeå universitet stipendiemodul
- Högskolan Väst
- Jönköping University
- KTH
- Luleå tekniska universitet
- Mid Sweden University
- Örebro University
- Göteborgs Universitet
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Institutionen för kemi och molekylärbiologi
- Karlstad University
- Karolinska Institutet, doctoral positions
- Kungliga Tekniska högskolan
- Linköpings universitet
- Mittuniversitetet
- SciCross
- SciLifeLab / Uppsala University
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 25 more »
- « less
-
Field
-
experimental characterisation of materials Background in multiphysics modelling Programming skills (e.g. Python, MATLAB, or similar) What you will do Pursue doctoral studies within the Graduate School of Solid
-
your application: Knowledge in atmospheric science, radiative transfer and remote sensing. Knowledge in microwave radiometry. Proficiency in Python. What you will do Take courses at an advanced level
-
with experimental characterisation of materials Background in multiphysics modelling Programming skills (e.g. Python, MATLAB, or similar) What you will do Pursue doctoral studies within the Graduate
-
Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
-
, Neuroscience (or equivalent) Strong written and verbal communication skills in English Experience in neural signal processing, electrophysiology, or brain–computer interfaces Programming experience (e.g., Python
-
verbal communication skills in English Experience in neural signal processing, electrophysiology, or brain–computer interfaces Programming experience (e.g., Python, MATLAB, or similar) Personal
-
learning or deep learning, preferably with transformer architectures Experience in probabilistic modelling or Bayesian statistics Programming skills in Python, preferably with PyTorch or similar frameworks
-
Demonstrated experience in performing novel and cutting-edge experiments, with soft x-ray microscopy for magnetic materials and/or coherent techniques using X-rays Good Python programming skills, a working
-
skills in Matlab and/or Python. Meritorious qualifications Experience in medical image analysis. Knowledge of or practical experience with generative models, anomaly detection, and image and signal
-
of superconducting quantum devices require generating and acquiring microwave signals and efficiently processing the resulting data, typically using Radio Frequency System-on-Chip (RFSoC) platforms with Python-based