Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Linköping University
- Mälardalen University
- Sveriges Lantbruksuniversitet
- Umeå University
- Chalmers tekniska högskola
- Luleå University of Technology
- Chalmers University of Technology
- Institutionen för biomedicinsk vetenskap
- Jönköping University
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Luleå tekniska universitet
- Lunds universitet
- Mälardalens universitet
- Nature Careers
- School of Business, Society and Engineering
- SciLifeLab
- Swedish University of Agricultural Sciences (SLU)
- Umeå universitet
- 11 more »
- « less
-
Field
-
of medical imaging technology and physics. Specific proficiency in relevant software and programming languages, e.g. Matlab and Python. Basis for assessment and selection In accordance with the provisions
-
, multiphase flows, or similar areas. A deep understanding of the physics and dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent
-
analysis. Experience with 5mc/5hmc dot blot assays for analysis of human DNA methylation levels. Expertise in Bash, Python, and R programming. Experience in phasing and resolving X-inactivation genomic data
-
. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
-
on the following assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power
-
programming skills in Python are necessary, along with an interest in combining physics with modern computational tools. Good knowledge SQLite is beneficial. Excellent ability to communicate in English, both
-
modeling reaction kinetics. Proficiency in Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB
-
at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good verbal and written communication skills
-
Python for scripting and data analysis, metabolite ID via MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score
-
. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or Python for scripting and data analysis, metabolite ID via