Sort by
Refine Your Search
-
framework that integrates multiscale molecular dynamics (MD), AI and machine learning (ML) approaches, that together with biophysical characterisation techniques will advance the current state of lipid
-
The application should consist of: A Curriculum Vitae (CV); A copy of a degree/diploma, and transcript of records with grades (translated into English or Swedish); Master’s thesis (or a draft thereof) and/or
-
dynamics of plasmid copy number in pathogenic bacteria, with a strong focus on infection biology and evolution of antibiotic resistance. The goals for this project are i) to better understand the role
-
of researchers (senior scientists, post-doctoral fellows, graduate students and research engineers) with different areas of expertise. The research program is multidisciplinary with competence in computational
-
and guidelines . Application The application should consist of: A Curriculum Vitae (CV); A copy of a degree/diploma, and transcript of records with grades (translated into English or Swedish); Master’s
-
Networks. The project encompasses several challenges in the gene regulatory network (GRN) field, from simulating realistic networks and data to accurate inference of GRNs from noisy gene expression data
-
pages) A certified copy of your master’s degree and your course grades. Copies (or drafts) of your master’s thesis and other documents, such as publications, that you wish to refer to. Names and contact
-
description The project focuses on studying the evolution of evolvability using computational simulations. Evidence from evolutionary developmental biology suggests that evolvability can change rapidly in
-
: Master’s degree in biomedicine or biostatistics. Doctor of medicine degree with clinical practice experience. Certified training in R and Python software. Documented experience using machine learning and
-
interdisciplinary project. The project concerns algorithm design, implementations of algorithms, and simulated and biological data analysis. The student is expected to learn a bit of relevant molecular biology to