Sort by
Refine Your Search
-
Listed
-
Employer
- Karolinska Institutet (KI)
- University of Lund
- SciLifeLab
- Lunds universitet
- Nature Careers
- Umeå University
- Uppsala universitet
- Chalmers University of Technology
- Umeå universitet
- Institutionen för växtskyddsbiologi
- KTH Royal Institute of Technology
- Linnaeus University
- Linneuniversitetet
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 5 more »
- « less
-
Field
-
biology, genomics/bioinformatics, systems genetics, or closely related field. Demonstrable expertise in at least two of: High‑throughput sequencing assays (ATAC‑Seq, ChIP‑Seq, BS‑Seq/EM‑Seq, RNA‑Seq
-
controls. Experience in working with Bacillus subtilis including cloning and strain construction, strong bioinformatics skills, and a proven track record of molecular and cell biology studies, preferably
-
of appointment/assignment relevant to the subject area. The doctoral degree should be in in plant molecular biology, genomics/bioinformatics, systems genetics, or closely related field. Demonstrable expertise in
-
, transplantation models, advanced flow cytometry, sequencing based molecular biology (“omics”) and/or bioinformatics is required to become a successful candidate. Emphasis will be placed on personal suitability and
-
, and bioinformatics competence within the lab. Additional technologies are accessed through the department of Medical Cell Biology and through SciLifeLab. Responsibilities The post doc fellow is expected
-
interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently includes the PI, a PhD student, and a research expert in bioinformatics
-
Fellows withing several research areas and projects. Immunology Cancer Genomics and Cell Signaling Infectious disease modeling Epidemiology-Multiomics Neurodegeneration Bioinformatic tools Molecular biology
-
construction, strong bioinformatics skills, and a proven track record of molecular and cell biology studies, preferably documented by publications and/or thesis work in this area. Experience with antibiotic
-
/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
-
biopesticide development and targeted antimicrobial delivery. The team is interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently