Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- Universidade de Coimbra
- INESC ID
- Nanyang Technological University
- Nature Careers
- The University of Queensland
- University of British Columbia
- University of Glasgow
- University of Otago
- University of Sheffield
- University of Southern California
- Université Gustave Eiffel
- 3 more »
- « less
-
Field
-
handling and processing of human blood, and sample labelling for flow cytometric analysis. Key responsibilities will include: Research: Plan and conduct laboratory work within an established research group
-
Université Gustave Eiffel's supervisor will apply together to develop the following research project : Smart and Affordable Labeling for Multisensory Navigation Data Using Reinforcement Learning 1. Summary
-
Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with
-
be a part of a world-class research university and a member of the “Trojan Family,” which is comprised of the faculty, staff, and students that make the university a great place to work. The USC Dana
-
methodologies related to creating and evaluating chemoproteomics datasets. 17. Carrying out cell biology experiments with the goal of proteomics profiling through methods such as TMT labelling or other isotopic
-
: • Experience in mRNA and protein labelling techniques. • Computer literacy particularly in data management. • Ability to maintain accurate records and analyse data. • An ability to work independently
-
research project and analyze data. Ability to work individually on own initiative and without close supervision, and as part of a team. Excellent organizational and oral/written communication skills. Ability
-
and private research centres and in industrial and metrology institutions and to explore new horizons in the Life Sciences and Medical sectors spanning label-free nanoscopic cell imaging, illness
-
also implement Active Learning strategies to enhance the model's training process. Active Learning will enable the model to identify and query the most uncertain predictions for human labeling. By
-
the programme period starts on commencement of the position. The doctoral research fellows will be a part of 3d-nanoscopy team, led by Prof. Krishna Agarwal, who works on computational microscopy and