Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
requirements, for acceptance in the Biochemistry, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry
-
student who will work experimentally with microbial and human DNA sequencing, including associated analyses using standard bioinformatics methods. The project will also involve statistical analysis in R
-
tissue Some documented experience in bioinformatics Experience working with cell cultures The position requires that you are cooperative, analytical (mathematical ability), and genuinely engaged in
-
level in computational biology, physics, applied mathematics, computer science, bioinformatics, structural biology, or a related subject or completed courses with a minimum of 240 credits, at least 60 of
-
of microbial communities using 16S rRNA gene sequencing, followed by bioinformatic analysis. It further includes applying hierarchical and mixed‑effects models and integrating microbiome data with environmental
-
quantitative genetics and plant biology. We expect the candidate to have an academic background in plant genetics and genomics, ecology, plant biology, agronomy, bioinformatics, biotechnology or a related field
-
, physics, applied mathematics, computer science, bioinformatics, structural biology, or a related subject or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses
-
, bioinformatics, quantitative and structural proteomics, as well as structural biology (cryo‑electron microscopy), to determine the interactions between intact bacteria, bacterial virulence factors, and human
-
and adaptive immune system. The work tasks include methods within molecular biology, bioinformatics, quantitative and structural proteomics, as well as structural biology (cryo‑electron microscopy
-
personalized medicine in PAD. With respect to research, the projects that constitute this doctoral training will involve bioinformatic analyses of human omics data, biostatistics and clinical data analyses