Our team has an immediate 12-month contract opening for a Developer. Responsibilities: Design and build prototypes, proof of concepts and demos of Deep Learning applications Develop and optimize performance-critical Deep Learning applications targeting resource-constrained devices

This is an opportunity to advance single cell omics technology and work alongside highly motivated colleagues in a We are looking for an outstanding Postdoctoral Fellow with experience developing and applying computational methods for high-throughput omics analysis to join Dr. Adi Steif’s computational cancer genomics research group in Vancouver, Canada.

We are looking for an outstanding research programmer with experience developing and applying computational workflows for high-throughput sequencing data analysis to join Dr. Adi Steif’s cancer genomics research group in Vancouver, Canada.

To help achieve our goal we are currently looking for a Computational Software Scientist to join our group. The successful applicant will join a rapidly growing team whose aim is to transform how research is carried out at large experimental facilities through a multi-disciplinary approach to data processing, computer simulation and data analytics.

Duties include teaching three computational or data science courses per year, supervising and advising master’s student projects, and conducting independent research in an area of the lecturer’s choosing. In addition, the lecturer will be expected to participate in the organization of community events planned by the Office of Master’s and Professional Programs.

We have an opening for a Postdoctoral Researcher with a strong computational science background to conduct research aimed at constructing an efficient reduced order model for simple/complex physics simulation codes. You will develop and implement model order reduction approaches for hydrodynamics to address performance of the reduced order models in terms of accuracy and speedup. This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate.

What Your Job Will Be Like: Are you interested in expanding your knowledge of modeling and simulation as a member of a team of scientists and engineers at a DOE national laboratory?We are seeking undergraduate student summer interns in the areas of atomistic materials modeling and high-performance scientific computing as part of the NNSA Minority Serving Institution Partnership Program (MSIPP) Consortium for Nuclear Security Advanced Manufacturing Enhanced by Machine Learning (NSAM-ML).

What Your Job Will Be Like: We are looking for an Intern - Computational Science for Predictive Simulations R&D Undergrad Year Round We are looking for motivated interns in the general area of enabling predictive simulations.Possible intern projects range from statistical analysis and machine learning to workflow development uncertainty quantification or algorithm performance testing.

What Your Job Will Be Like: We are looking for an Intern - Computational Science for Predictive Simulations R&D Grad Year Round We are looking for motivated interns in the general area of enabling predictive simulations.Possible intern projects range from statistical analysis and machine learning to workflow development uncertainty quantification or algorithm performance testing.

The School of Computing invites applications for University Lectureships and Senior Lectureships.

As a Lecturer/Senior Lecturer in Computational Mechanics and Engineering Design, you will have an outstanding record in mechanical engineering, particularly in engineering design using data-driven mechanics, design optimization and modelling. You will work within and across boundaries to address major research challenges, attract grant income, generate high quality impact outcomes and expand existing capability in the School and University.

What Your Job Will Be Like: We are looking for an Intern - Computational Science for Predictive Simulations R&D Undergrad Year Round We are looking for motivated interns in the general area of enabling predictive simulations.Possible intern projects range from statistical analysis and machine learning to workflow development uncertainty quantification or algorithm performance testing.

What Your Job Will Be Like: We are looking for an Intern - Computational Science for Predictive Simulations R&D Grad Year Round We are looking for motivated interns in the general area of enabling predictive simulations.Possible intern projects range from statistical analysis and machine learning to workflow development uncertainty quantification or algorithm performance testing.

D. E. Shaw Research is seeking computational chemists and biologists, as well as other computational scientists with a track record of achievement, to join our New York–based team.

Senior Computational Scientist \YOUR TASKS AND RESPONSIBILITIES Collaborate in a multidisciplinary computational science team to collect user requirements develop specifications and verify functionality and usefulness of the proposed analytical and technological solutions prior to full development.Identify and optimize a use case in the Oncology clinical development operations environment by utilizing Machine Learning / Natural Language processing (NLP) or Natural Language Generation (NLG) methodologies.

The Computational Biologist performs bioinformatics analyses and contributes to software development related to the operation of a large-scale clinical sequencing facility.

The T-5 Applied Mathematics and Plasma Physics group of the Los Alamos National Laboratory has an opening for a postdoctoral position in computational science to perform innovative research in applied mathematics and research software engineering. Los Alamos National Laboratory is a multidisciplinary research institution engaged in science and engineering on behalf of national security. T

We are looking for a Senior HPC (High Performance Computing) Computational Scientist to join our team at our Vicksburg, MS location. The team is working in a hybrid environment, primarily virtual but with occasional office requirements for work that cannot be completed virtually.

We are seeking a computational scientist or applied mathematician who wants to make significant contributions to a growing numerical simulation team. The ideal candidate has significant experience in the numerical simulation of partial differential equations, knowledge of state-of-the art methods employed in scientific computation, and the ability to analyze deterministic or stochastic differential equations using techniques commonly utilized in applied mathematics.

<strong>Umeå University</strong> is one of Sweden’s largest institutions of higher education with over 37,000 students and 4,800 faculty and staff. We are characterised by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison. Umeå University is also the site of the pioneering discovery of the CRISPR-Cas9 genetic scissors - a revolution in genetic engineering th......