Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Purdue University
- The University of Iowa
- ;
- Cornell University
- Duke University
- MASARYK UNIVERSITY
- AALTO UNIVERSITY
- Columbia University
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Imperial College London
- Radix Trading LLC
- Susquehanna International Group
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- Universite de Moncton
- University of Cambridge
- University of Luxembourg
- University of Newcastle
- University of Tennessee at Chattanooga
- University of Utah
- Brookhaven Lab
- CSIRO
- CUNY School of Medicine
- DAAD
- Ghent University
- IMEC
- Institute of Science and Technology Austria (ISTA)
- KINGS COLLEGE LONDON
- Leibniz Centre for Agricultural Landscape Research (ZALF)
- Los Alamos National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Mid Sweden University
- Nencki Institute of Experimental Biology PAS
- Norwegian Institute of International Affairs
- Simula Metropolitan Center for Digital Engineering
- Texas A&M University
- Universidade de Coimbra
- University of California Irvine
- University of Houston
- University of Houston Central Campus
- University of Lethbridge
- University of Liverpool
- University of Louisville
- University of Minnesota
- University of Minnesota Twin Cities
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- University of Southern California
- University of Tübingen
- Universität Düsseldorf
- VU Amsterdam
- Virginia Tech
- 44 more »
- « less
-
Field
-
) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
-
simulations to analyze and optimize hemodynamic parameters in CAD-related applications. Collaborate with clinicians to translate simulation insights into practical solutions for cardiovascular health. Develop
-
Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus cloud modification (CCM) could in-theory mitigate
-
Scientific CommunityOur scientists, from professors to postdocs to students, hail from all corners of the world, representing over 80 different nationalities, and build on research and degrees earned from
-
, optimization) or AI.- Someone who enjoys working in a team, takes initiative, and isn’t afraid to think outside the box.- Someone with excellent grades from BSc and MSc studies, and not afraid of experimental
-
(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
-
development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model
-
with good understanding of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with
-
, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
-
and their by-products. o Monitor and control the migration of radionuclides and heavy metals throughout industrial processes. 2. Optimization of Industrial Processes: o Utilize nuclear