Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Nature Careers
- Technical University of Denmark
- Susquehanna International Group
- Leiden University
- CWI
- Chalmers University of Technology
- Duke University
- KINGS COLLEGE LONDON
- National Research Council Canada
- Norwegian University of Life Sciences (NMBU)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Newcastle
- Université Libre de Bruxelles (ULB)
- ;
- ; University of Sheffield
- Aristotle University of Thessaloniki
- CNRS
- Cranfield University
- Delft University of Technology (TU Delft)
- Ghent University
- Leiden University; Leiden
- Linköping University
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- McGill University
- THE UNIVERSITY OF HONG KONG
- Technical University Of Denmark
- Technical University of Munich
- The University of Chicago
- The University of Iowa
- University of Alabama at Birmingham
- University of Antwerp
- University of Central Florida
- University of Luxembourg
- University of Oslo
- University of Southern Queensland
- Wageningen University and Research Center
- 29 more »
- « less
-
Field
-
carried out and data is generated? Then keep reading. The Natural Products Genome Mining Section at DTU Biosustain studies multiple aspects of Actinomycete bacteria, for example their genomics, molecular
-
decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
-
Biomedical Sciences, Microbiology, or related fields; experience with anaerobic bacterial culturing, mass spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with
-
Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
-
· Programming skills in Matlab, R, and/or Python · Experience in the organisation of field campaigns Language skills · Fluency in English, both oral and written. Your LIST benefits
-
in a structured doctoral training environment. The need of microbiome research in the current age lies in joining forces from multiple disciplines to focus on understanding causal and mechanistic links
-
spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with bacterial genetic engineering or mammalian cell culture is a plus; good project and time management skills
-
distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
-
from visual and auditory cortices recorded over multiple days Apply and adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural
-
flight dynamics and mission-based performance analysis. o Programming skills in Python, C++, or equivalent for simulation preprocessing/postprocessing. o (Desirable) Exposure to reduced-order