Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- Aalborg University
- KU Leuven
- Leiden University
- Technical University of Munich
- University of Amsterdam (UvA)
- University of Oslo
- Aarhus University
- BARCELONA SUPERCOMPUTING CENTER
- Duke University
- Georgetown University
- Göteborgs universitet, Department of Marine Sciences
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Radboud University
- UNIVERSITY OF VIENNA
- University of Thessaly
- University of Turku
- University of Twente (UT)
- University of Vienna
- Wageningen University & Research
- 11 more »
- « less
-
Field
-
the scope of the provisions of the collective bargaining agreement, including the co-supervision of BSc and MSc theses; Publish your scientific results in peer-reviewed journals; Strengthen the collaborative
-
Job Description The section for statistics and data analysis is looking for a Postdoc to join the section, with the aim of strengthening the section’s work within scientific consultancy in
-
; • Teach independently within the scope of the provisions of the collective bargaining agreement, including the co-supervision of BSc and MSc theses; • Publish your scientific results in peer-reviewed
-
part in teaching and supervision at BSc and MSc level, and to take responsibility in grant application writing. We seek a candidate with knowledge of the application and analysis of Sensory & Consumer
-
urgently needs decision-making systems that are scientifically robust, transparent about uncertainty, and responsive to ecological, ethical, and policy contexts. BioM will unite ecology, statistics, and
-
. Applicants with interests and experience in any of galaxy formation, Lyman-alpha absorption, ISM/CGM evolution at high redshifts, JWST NIRSpec spectroscopy, ALMA spectral data, and statistical inference
-
techniques Ability to support non-bioinformaticians and deliver training in WGS data analysis. Skills in data management, visualization, and statistical analysis. Proven ability to plan and execute complex
-
of strains) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modelling
-
on complementary aspects of the project. Collaborate with the statistical post-doc on the study who will lead advanced statistical developments. Ensure methodological rigor and scientific excellence throughout all
-
has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct