Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ICN2
- Nature Careers
- University of North Carolina at Chapel Hill
- University of Oslo
- Centre for Genomic Regulation
- Inria, the French national research institute for the digital sciences
- University of Southern Denmark
- Aarhus University
- DURHAM UNIVERSITY
- Durham University
- Heriot Watt University
- Institut Pasteur
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Istituto Italiano di Tecnologia
- Linköping University
- Princeton University
- RIKEN
- Technical University of Denmark
- Texas A&M AgriLife
- Texas A&M University
- The Ohio State University
- Umeå universitet stipendiemodul
- Bournemouth University;
- Consejo Superior de Investigaciones Científicas
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Ghent University
- IMT Mines Ales
- Imperial College London
- Instituto Superior Técnico
- Karlstad University
- Karolinska Institutet (KI)
- Lodz University of Technology
- Maj Institute of Pharmacology Polish Academy of Sciences
- NTNU - Norwegian University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- Oak Ridge National Laboratory
- Purdue University
- SLU
- SWPS University
- SciLifeLab
- Technical University of Munich
- Texas Christian University
- The University of North Carolina at Chapel Hill
- University of Amsterdam (UvA)
- University of Basel
- University of Canterbury
- University of Lund
- University of Miami
- University of Nevada, Reno
- University of Oxford
- University of Twente (UT)
- University of Washington
- 46 more »
- « less
-
Field
-
using machine learning (ML) to help us find it? Astrobiology uses many different forms of analysis to capture data about the features -- or biosignatures -- of living systems in the world: whether in
-
. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
-
on the development and application of advanced modelling and machine learning methods, and may involve the following areas: Dimensionality reduction. Data-driven methods for estimating dynamical models Data-driven
-
for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
-
TIGR-Tas using molecular biology, and biochemical methods. The candidate is also expected to engineer the systems as molecular tools for therapeutic applications. In particular, the candidate is expected
-
for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
-
computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating to the Zuccolo Group research
-
methods, enabling precise midIR spectral measurements from blood rich skin layers. Your work will bridge measurement physics and biomarker estimation: you will transform raw optoacoustic signals into robust
-
-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
-
vision, animal welfare, and behavior. The position is aimed at a method-oriented researcher interested in developing and applying computer vision–based methods in real-world settings. The project is part