Sort by
Refine Your Search
-
Country
-
Employer
- Carnegie Mellon University
- The University of Chicago
- University of Luxembourg
- University of Texas at El Paso
- Harvard University
- Purdue University
- University of Florida
- AALTO UNIVERSITY
- CNRS
- ETH Zürich
- Jane Street Capital
- Northeastern University
- Pennsylvania State University
- Radix Trading LLC
- Technical University of Munich
- Tilburg University
- University of Bremen
- University of Miami
- University of Newcastle
- University of Oxford
- University of South Carolina
- Aarhus University
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- Chalmers University of Technology
- Columbia University
- Duke University
- European Commission - Joint Research Centre
- Fermilab
- George Mason University
- Georgia Southern University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Sistemas e Robótica (ISR)
- Istituto Italiano di Tecnologia
- LIVERPOOL JOHN MOORES UNIVERSITY
- Luxembourg Institute of Science and Technology
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- National University of Singapore
- Radboud University
- Rochester Institute of Technology
- The Ohio State University
- The University of Alabama
- The University of Iowa
- UNIVERSITAT POMPEU FABRA
- Universidade de Vigo
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Arkansas
- University of Cambridge;
- University of Cantabria
- University of Kentucky
- University of Maryland, Baltimore
- University of Sheffield
- University of South-Eastern Norway
- University of Texas Rio Grande Valley
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 45 more »
- « less
-
Field
-
processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
-
Python programming. ● Experience in monitoring code performance. ● 3 or more years of demonstrable experience in machine learning theory. ● Excellent communication and teamwork skills. ● Proficiency in
-
insurance and supplemental retirement options; professional learning and development programs; limited tuition remission for employees enrolled at UMB; life insurance and long-term disability; and flexible
-
to learn new techniques and instruments, good organizational skills, and the ability to work with a diverse team of scientists. Applicants with prior experience in anaerobic microbial culture, lab
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
. The successful candidate will be expected to carry out the following scientific activities: Application of advanced Machine Learning, Deep Learning, reduced-order modelling, and physics-informed/-guided modelling
-
be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
-
(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
-
Strong Python skills and experience with data manipulation Basic machine learning knowledge (equivalent to at least an introductory course) Additional skills (nice-to-haves) Experience with website
-
nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
-
of computer literacy and knowledge of data management programs. Excellent organization skills, ability to prioritize a variety of tasks, and careful attention to detail. Ability to demonstrate professionalism