Sort by
Refine Your Search
-
experiment at CERN. Together, the groups offer an international environment with a wide network of collaborators, generous support for conference travel, and access to national HPC resources (NAISS) and local
-
collaboration with experimental LNP PhD / PostDoc projects in the Barriga Lab and with M. Carroni at the Cryo EM facility SciLifeLab. Other responsibilities may include teaching, supervision and contributions
-
. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
-
-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
-
experience and track record in using open databases and bioinformatic tools and services. Strong programming skills for developing computational tools or data workflows (Python or similar), with good software
-
developing, adapting or optimising experimental protocols Experience with high-throughput sequencing approaches (e.g. RNA-seq, ATAC-seq or related methods) Ability to critically assess data quality and
-
. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
-
a demonstrated interest in cell biology and biological modelling. Have experience interpreting biological datasets, particularly imaging data and multimodal datasets combining imaging and molecular
-
the lab’s infrastructure, experimental toolkit, and best practices for tumor-on-chip fabrication, biomechanical sensing and immune function characterization. You will collaborate closely with the principal
-
professional experience and knowledge. Brief letter of motivation describing why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages