89 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions in Finland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop models, algorithms and data structures for high throughput sequencing data
-
this project we will develop novel models for estimating the correctness of genome and metagenome assembly and algorithms and data structures for computing such correctness estimates. The Doctoral Researcher is
-
related to information technology. As a Research Software Engineer at the University of Helsinki, you will get to collaborate with different research groups providing software development and consultation
-
related to information technology. As a Research Software Engineer at the University of Helsinki, you will get to collaborate with different research groups providing software development and consultation
-
The TrueScreen Research to Business (R2B) project at the University of Helsinki is seeking a talented and highly motivated Bioinformatician / Research Software Engineer or Postdoctoral Researcher
-
well as newly developed computational methods. You will report your results in a scientific publication as a first author with the support of other members of the group. Skills, experience/qualifications
-
mutation events from large genomic datasets and analyse the effects of the identified mutations using existing software as well as well as newly developed computational methods. You are also be expected
-
is expected to lead and develop research and teaching on quantum simulations of materials at the Department of Physics and the Nanoscience Center, focusing on topics with connection to the research
-
a fully funded contract of up to 3 years. Position description The postdoctoral researcher position involves developing novel spatial and other statistical frameworks, combining biodiversity
-
the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored