Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Germany
- Sweden
- France
- Spain
- Netherlands
- Singapore
- Norway
- Denmark
- Belgium
- Italy
- Poland
- United Arab Emirates
- Australia
- Austria
- Luxembourg
- Romania
- Finland
- China
- Canada
- Morocco
- Worldwide
- Switzerland
- Estonia
- Hong Kong
- Malta
- Greece
- Ireland
- Japan
- Brazil
- India
- Lithuania
- Saudi Arabia
- Andorra
- Armenia
- Cyprus
- Czech
- New Zealand
- Slovakia
- Taiwan
- 32 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Mathematics
- Science
- Chemistry
- Materials Science
- Earth Sciences
- Electrical Engineering
- Business
- Humanities
- Linguistics
- Psychology
- Environment
- Philosophy
- Physics
- Arts and Literature
- Law
- Education
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours ago
. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in
-
et al, 2nd edition https://www.genome-scale.info/ ). The candidate will develop efficient programs that implement the designed algorithms, and run computational analyses. The results can be confronted
-
numerical modeling and validation of brain-inspired algorithms Develop circuit-plausible training and inference algorithms, and analyze their behavior in LTspice and Cadence Spectre Perform algorithm–circuit
-
etc., please see: https://csrankings.org/#/indexai&vision&mlmining&nlp&robotics&bio&world and https://mbzuai.ac.ae/study/faculty-directory/ They will work on developing Artificial Intelligence (AI) and
-
and atomic experimental physics. Our lab focuses on developing scalable quantum processors using neutral atom arrays, with a strong emphasis on bridging theoretical innovation and experimental
-
to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
-
experimental research as well as data analysis and algorithm development. Students with either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in engineering, mathematics, neuroscience
-
Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
-
through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
-
in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging