Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics seeks a postdoctoral researcher within geometric deep
-
are looking for someone with a PhD in computer science, electrical engineering, mathematics, statistics, data science, operations research, or other related fields. You have strong coding skills in Python and
-
cultures. Strong knowledge of quantitative methods and statistics, including programming in commonly used languages such as R. Very good oral and written proficiency in English. Assessment criteria and other
-
research projects, as evidenced by scientific publications in internationally peer-reviewed journals - Good knowledge in genomics, bioinformatics and experience in statistical analysis of large datasets
-
bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
-
into consideration. The applicant should have good knowledge of automatic control, optimal control, statistics, and optimization. Furthermore, good programming skills are required, including Python and C++, and
-
to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq
-
skills in English Documented ability to independently drive research and publish scientific results Good ability to work in teams Personal suitability Merits: Research experience on Bayesian statistics and
-
monitoring will be particularly useful. A solid background in statistical data analysis and previous experiences with catchment hydrochemical modelling are merits. Excellent English skills, both in speaking
-
publish scientific results Good ability to work in teams Personal suitability Merits: Research experience on Bayesian statistics and model adequacy Experience with development of R packages Familiarity with