Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- UNIVERSITY OF HELSINKI
- University of Turku
- AALTO UNIVERSITY
- Tampere University
- University of Oulu
- Itä-Suomen yliopisto
- Natural Resources Institute Finland (Luke)
- University of Jyväskylä
- Hanken School of Economics
- Turku University of Applied Sciences
- University of Helsinki
- University of Vaasa
- Åbo Akademi University
- 3 more »
- « less
-
Field
-
/ Bioinformatician to join our collaborative, multidisciplinary research team applying single-cell methodologies to study treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org
-
The University of Helsinki (https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic
-
theses in the discipline within the Bachelor's Programme in Agricultural Sciences and the Master's Programme in Agricultural Sciences (https://www.helsinki.fi/en/degree-programmes/maataloustieteiden
-
The University of Helsinki (https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic
-
. This doctoral project examines how these developments shape relational aspects of work, (which may include authenticity, trust, social connection, and experiences of loneliness), as people negotiate emerging
-
seeking to recruit a motivated Postdoctoral Researcher to work in the theory projects within the Centre of Excellence in Quantum Materials (https://www.qmat.fi ). The research will be guided by Professor
-
Life Sciences fields. Experience in RNA-based methodology such as RNA isolation, quality control, gene expression analysis, RNA sequencing, or related approaches. The ability to work both independently
-
in molecular biology or related fields Practical experience with genomics and bioinformatics methods A solid knowledge of single cell omics technologies and data analysis A strong research record
-
models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
-
. degree or equivalent in Molecular Biology, Biochemistry, or other related fields are encouraged to apply. Prior experience in laboratory work is required. Experience in working with research animals and