24 low-rank-approximation Postdoctoral research jobs at UNIVERSITY OF HELSINKI in Finland
Sort by
Refine Your Search
-
their respective fields. About the position You are tasked with completing your doctoral thesis and your doctoral degree in accordance with the curriculum of your doctoral programme. Your duties may also include
-
decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
-
the recruitment system, please contact HR Services (hr-mm(at)helsinki.fi ). WHY FINLAND AND HELSINKI Why Finland is a great place to live and work: https://www.helsinki.fi/en/about-us/careers/why-finland 10 reasons
-
community under the supervision of the best researchers in their respective fields. About the position You are tasked with completing your doctoral thesis and your doctoral degree in accordance with
-
immune-system related diseases such as immunodeficiency and cancer. We use a wide range of techniques such as mouse models, tumor models, in vivo immune cell migration and other functional assays, flow
-
: https://www.helsinki.fi/en/about-us/careers . How to apply Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button. Internal applicants (i.e
-
. The objective is to understand how algal blooms and the changing conditions around them contribute to the reconfiguration of human-environment relations in the context of the ecological crisis using Finland as an
-
the University of Helsinki is an excellent career choice: https://www.helsinki.fi/en/about-us/careers . Please also see why Finland is a great place to live and work: https://www.helsinki.fi/en/about-us/careers
-
conditions required for international cooperation (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki) . In addition, the university offers its employees comprehensive services, including
-
no estimate of their correctness which severely hampers accurate estimation of the correctness of downstream analysis. In this project we will develop novel models for estimating the correctness of genome and