Sort by
Refine Your Search
-
Uppsala University, Department of Organismal Biology The Department of Organismal Biology teach about, and explores the evolution, development and function on the organismal level. We study the
-
for analytical and creative thinking initiative independence ability to collaborate written and oral proficiency in English. The candidate should hold a MSc in Chemical and/or Process Engineering, Nanotechnology
-
spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as
-
techniques coupled to high resolving mass spectrometry for molecular characterization, using tandem mass spectrometry and reactive chemistry, quantification, and data analysis, including statistics. Variations
-
. Candidates are further expected to have experience in processing and analyzing high-throughput genomic sequencing data and in statistical analysis. Previous experience with Drosophila melanogaster or other
-
Lepidoptera and plant ecology Statistics and programming (e.g. in R) The application should consist of the following (all files in PDF-format): Curriculum vitae including publication list, Master [alternatively
-
Are you interested in developing computational tools and learning strategies for understanding health and disease at the microscopic scale? Would you like to be part of a research team with skilled
-
. Rocío Mercado Oropeza, applies machine learning to molecular engineering problems in life sciences and drug discovery, and is based in the Division for Data Science and AI within the CSE Department
-
of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as
-
Sciences division. This multidisciplinary team utilises a combination of machine learning and mechanistic modelling to derive models and scientific insights from data, which both support and enhance drug