15 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"University-of-Southampton" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
demonstrated track record of developing novel, high-impact computational methods. For Area A: evidence of assay-algorithm co-design in RNA/CRISPR/single-cell/spatial/metabolomics. For Area B: experience with
-
optimize algorithms for analyzing behavior data. Build or implement existing scripts to temporally align data across multiple modalities. Coordinate efforts with DNB researchers and established vendors (Med
-
ambitions · Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days paid annual leave, 11 public holidays, 13-month salary, statutory
-
across disciplines. The candidate will be attached to both FORM (hosted by the Department of Mathematics and Computer Science) and DIAS and should be prepared to engage in multiple and diverse research
-
The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
-
their personal and professional ambitions; Gender-friendly environment with multiple actions to attract, develop and retain women in science; 32 days’ paid annual leave for a full time internship, 11 public
-
Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and
-
develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings. Day-to-day: Develop new ideas, write code, run experiments, analyze data, and
-
SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
to fulfil their personal and professional ambitions · Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public
-
their data requirements and ensure that NGS outputs are structured and formatted to seamlessly integrate with AI algorithms and machine learning models. Develop and implement advanced bioinformatics pipelines