Sort by
Refine Your Search
-
Listed
-
Employer
- University of Birmingham
- Nature Careers
- ;
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- UNIVERSITY OF SURREY
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UCL;
- University of Glasgow
- University of Nottingham
- City University London
- Queen's University Belfast
- Queen's University Belfast;
- ; University of Exeter
- EMBL-EBI - European Bioinformatics Institute
- Edinburgh Napier University;
- King's College London
- London School of Hygiene & Tropical Medicine;
- Nottingham Trent University
- Sheffield Hallam University
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF MELBOURNE
- University College London
- University of Bath
- University of Bath;
- University of Birmingham;
- University of Cambridge
- University of Exeter;
- University of Leeds
- University of Leeds;
- University of London
- University of Manchester
- University of Sheffield
- University of Stirling
- University of Stirling;
- University of Surrey
- University of Surrey;
- University of Sussex;
- University of the West of England
- 31 more »
- « less
-
Field
-
Python or a similar system. A4 Knowledge of integrating Design-Make-Test-Analyze (DMTA) cycles for drug discovery with automated chemical synthesis systems. A5 Knowledge of automated solid phase synthesis
-
including next-generation sequencing, bioinformatic analysis (R and/or python), mammalian cell culture. The post holder will be comfortable working both independently and in a collaborative environment. What
-
programming using languages such as Bash, C, C++, or Python. This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration
-
(or capacity to develop understanding) in relevant field Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL Experience with UNIX/LINUX and High
-
: Proficiency in at least one programming language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in
-
journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
-
to completion) in Computational Materials Chemistry or a related discipline Experience in Defect Chemistry Analysis Experience in Python Programming Expertise in Electronic structure analysis of solids Expertise
-
of using and developing Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information
-
mathematics e.g. calculus and probability Ideally experience with command line and sequence analysis Good programming skills (e.g. R, Python, C/C++) Knowledge of basic statistics and application in R or similar
-
inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor