Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Umeå University
- SciLifeLab
- Chalmers University of Technology
- Jönköping University
- Karlstad University
- Nature Careers
- Karolinska Institutet, doctoral positions
- Swedish University of Agricultural Sciences
- Umeå universitet
- European Magnetism Association EMA
- KTH
- Linköping University
- Linnaeus University
- Linnéuniversitetet
- Lund University
- Lunds universitet
- SLU
- Uppsala universitet
- 9 more »
- « less
-
Field
-
). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
-
surface plasmon resonance (SPR). Strong ability to analyze and interpret quantitative proteomics data in R and/or Python, as well as experience in integrative bioinformatic analysis (e.g., multi-omics
-
Description of the workplace InfraVis is Sweden’s national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund
-
, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with an emphasis on maintaining physical consistency
-
Arctic headwaters. It will include field studies and the use of existing data, potentially complemented with modelling. The postdoc is also expected to collaborate with project partners and carry out
-
workplace meetings and staff days. More information about PhD studies is found here . Qualifications General requirements To be admitted to studies at the third-cycle level, i.e. doctoral education, the
-
teaching skills and for personal development. For more information about our PhD program, please visit our information page. We offer fully financed positions to our doctoral students who receive competitive
-
/other relevant publications Other merits of relevance for the position Contact information to two reference persons Attached documents must be in Word or PDF format. Please note that incomplete
-
described in “Focus of the Doctoral Position” 6. Contact details for two references (e.g., previous supervisors) Incomplete applications will not be considered. Further Information For more information about
-
doctoral student will address the same topic from a business perspective. The student will also be afilliated with the NextG2Com industrial competence center, in the research theme on Integrated Data