Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Umeå University
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- ;
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- Linnaeus University
- Mälardalen University
- NORDITA-Nordic Institute for Theoretical Physics
- University of Borås
- Uppsala University
- 7 more »
- « less
-
Field
-
central role in conducting laboratory-based experimental work using clinical samples, with a particular emphasis on microRNA profiling and whole-genome or exome sequencing, including metagenomic approaches
-
systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as
-
“Quantitative predictions of protein – DNA interactions from high-throughput biophysical binding data”. Sequence specific binding and recognition between transcription factors and DNA control gene expression at
-
cancer immunotherapy. Specifically, to 1) correlate the presence of synthetic tertiary lymphoid structures with anti-tumor efficacy; 2) identify the molecular mechanisms and sequence of cellular
-
sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
-
). Particular emphasis is placed on HPC-supported computing of sequencing data into assembled transcripts (de novo assembly is a frequent need), and further downstream translation of the ORFs of said transcripts
-
integrate complex biological data derived from sequencing and proteomic experiments. Work tasks As a Project Assistant, you will work under supervision to: Provide support to lab members with computational
-
holder will have the opportunity to gain qualifications are: Data collection and curation. Whole genome sequence and annotation (coding and non-coding) from diverse plant species have been prepared, while
-
involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
-
. The research involves: Microbiome sequencing and metagenomic mining to identify novel CIS candidates from diverse ecological niches (skin, gut, insect microbiomes) Recombinant expression and purification of CIS