Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
-
the DIWA Flagship (approximately 50%) The research component is linked to the DIWA Flagship’s goal of developing digital twins of aquatic environments, novel observation systems, and integrated analysis and
-
psychology, and neuroscience. The appointed researcher will participate in the design and implementation of studies, data collection and analysis, and the scientific reporting and publication of research
-
based in any discipline within its five constituent faculties (Economics, Education, Humanities, Law and Social Sciences). Selection of successful applicants will be on the basis of academic excellence
-
from 1 September 2027. TIAS Fellows are selected via an international call for applications and TIAS welcomes applications from projects based in any discipline within its five constituent faculties
-
within its five constituent faculties (Economics, Education, Humanities, Law and Social Sciences). Selection of successful applicants will be on the basis of academic excellence. Job description The main
-
considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental research design. Experience in conducting behavioural experiments or using
-
strong background in psychology, but other related areas may also be considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental
-
). The position will focus on computational analysis and modeling of links between human microbiome and cancer. The selected candidate will develop and apply data science methods, contribute to data processing
-
for the post is determined according to the University salary system for teaching and research personnel. The job demand level is 7 and consists of a task-specific salary and personal work performance component