Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- University of Lund
- Umeå University
- Nature Careers
- Karolinska Institutet (KI)
- Linnaeus University
- Swedish University of Agricultural Sciences
- Jönköping University
- Linköping University
- Lulea University of Technology
- Mälardalen University
- SciLifeLab
- Blekinge Institute of Technology
- University of Borås
- 4 more »
- « less
-
Field
-
the deadline for applications. Meritorious Teaching experience Swedish, both in speech and writing Information about the position The position is a fixed-term employment in accordance with the agreement on fixed
-
relevant for the postdoc project. - previous knowledge of exploring datasets on forest production, carbon cycles and/or biodiversity -very good command of the English language, both written and spoken
-
required. The position requires sound verbal and written communication skills in English. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and
-
Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
-
and control beams in plasmas” project. Main responsibilities Your major responsibility as postdoc is to perform your own research in a research group. The position may also include teaching on
-
Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced
-
publication record in reputable peer-reviewed journals is highly desirable. Proficiency in programming, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet
-
Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced
-
algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
-
in English, both oral and written Meritorious for the position: Experience from work with cell culture systems Previous research in circadian biology or endocrinology Hands-on experience with plasma