The role is for a Post doctorate level candidate with knowledge in one or more areas relevant to GPU Architecture research and development.
General
The successful candidate will have the opportunity to be involved in a wide range of activities related to the ongoing development of GPU architecture, including, algorithm research, functional and low level modelling, architectural feature definition, specification and evaluation, compiler technologies and power and area optimisations.
You should have a demonstrable understanding of one or more of rendering technologies, graphics pipelines, GPU architectures, GPU computing, modelling and simulation, ray tracing, or compiler technology.
This will include working within a multidisciplinary team of scientists and engineers to maximise the performance of battery materials and contribute to developing a deep understanding of the key structure - property relationships in functional battery materials and materials formulations.
As a Post-doc Scientist, you will be charged with developing the company's next generation energy storage materials and high-performance battery systems.
Newton Colmore is working with a battery and energy storage technology company in Cambridge and we are assisting them with their search for a post-doc scientist.
A Software Security Researcher ideally with a PhD in Mathematics or Computing coupled with strong programming skills (Go, Rust and/or Solidity with some C) will join an innovative start-up combining high-end security, blockchain and program analysis research.
You'll undertake Security Research as part of a team of experts in Compilers, Cryptography, Mathematics and Finance, bringing an appreciation (or personal interest in) real-world attacker mentality in order to reduce risk and fortify code.
Are you interested in Cryptography and Software Security and want to use your Mathematical and Programming excellence to fortify code essential to the finance industry?
We are seeking an experienced Proteomics Research Scientist to join a world renowned research instituteproviding proteomic expertise and infrastructure for in-depth protein analysis (identification and quantification) of complex samples employing a wide range of proteomic methods.
Candidates with the following experience will be considered for this role:
You will be responsible for developing & optimizing these LC-MS biomarker methods, analysing complex data sets and contributing towards the continuous improvement of existing assays and taking a leading role in the development of novel assays to target new disease areas.
Reed Further Education are seeking a dedicated Lecturer of English to join an Alternative Provision Team on a part-time, fixed-term basis to cover maternity leave.
If you thrive in a high-energy environment and are committed to the achievements and outcomes of students, this opportunity is for you.
This role is ideal for an individual with exceptional teaching skills and the ability to engage and motivate young people who are on individualised programmes at the college.
PhD in Mathematics, Computer Science, Engineering, Physics or related Track record of coming up with new ideas, as demonstrated by projects or first author publications conferences Software skills spanning from conceptual stage (like Python, R, MATLAB) to deployment stage (feature release, version control)
JOB AD
As a Deep Learning Researcher in our team, you will collaborate with the Cambridge Researchers and with worldwide colleagues, stay up and above the state of the art, initiate with novel ideas, and develop them into algorithms and applications that make the real difference in everyday devices.
You will also push your contribution by publishing at top-tier conferences, such as NeurIPS, ICML, ICLR, CVPR, ACL, ICRA, ACM.