Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Science
- Economics
- Materials Science
- Business
- Chemistry
- Mathematics
- Linguistics
- Arts and Literature
- Psychology
- Earth Sciences
- Law
- Environment
- Physics
- Education
- Humanities
- Philosophy
- Sports and Recreation
- Electrical Engineering
- Social Sciences
- 13 more »
- « less
-
have experience with interactive visualisation of uncertainty (e.g., dashboards, uncertainty mapping). You have experience with HPC or parallel computing for computationally intensive tasks. Our offer A
-
projects in parallel, with the need for a high attention to detail and ability to balance priorities. The role holder will utilise knowledge and experience of the landscape of African entrepreneurship and
-
method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
-
method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
-
evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing, distributed systems, and optimization. Analytical skills, problem-solving
-
Strong foundation in CFD, Programming proficiency such as Python, AI/ML techniques, Experience with parallel computing on CPU/GPU cluster, use of CUDA, MPI is a plus. Experience Experience with open-source
-
. Working with Thames Water’s Engineering Innovation Team at Kempton Park, you will: Benchmark two novel underwater skimming robots and a weed-management robot against conventional dry skimming in parallel
-
or field including associated analysis possibly involving statistical or data analytical software. Work across teams and projects, often on a number of parallel and competing tasks. Work with discretion
-
utilise the University of Birmingham’s smart campus building data in order to develop a template for such an assessment. In parallel, working the Met Office and their forecasting team, the project will
-
therefore a continued knowledge gap - whether bone and muscle sarcoma metastases evolve through linear Darwinian evolution, parallel progression, reversible/plastic mechanisms and/or whether a metastatic