Sort by
Refine Your Search
-
, single-cell analysis, and machine/deep learning (preferred but not required). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author research papers. Strong
-
to link microbial communities to climate-driven biogeochemical shifts. You hold a PhD in Marine Biology, Microbial Ecology, or related fields, have a strong background in omics data analysis (R
-
but not limited to mathematical statistics, statistical inference, and linear regression. 2. Strong computational skills: • Proficient in programming languages R, Python, and Shell, has extensive usage
-
in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
-
, or ensemble models (e.g., XGboost). Proficiency in programming languages commonly used in data analysis, such as R, Python, or C++ (or similar). Strong communication, collaboration, and presentation skills
-
, or a related field. The applicant should be highly self-motivated and have a record of first-authored publications in respected journals. Statistical and programming skills, such as R and the use of UNIX
-
analyses using statistical software, such as SAS, R, and others. Participate in group meetings and work collaboratively on larger projects with other group members. Generate data for figures and tables
-
quantitative proteome analysis methodologies Hands on experience running and maintaining ThermoFisher &/or Bruker mass spectrometers Experience with R, MATLAB, python and general computational abilities At Dana
-
interpersonal skills with the highest ethical standards. You may also have Expertise in functional genomics data analysis. Scientific programming skills, including knowledge of R, Bash and Python languages
-
): Up to KRW 100 million per year - Additional salary support may be available when securing new research projects (for participation in and execution of other R&D projects related to the DGIST Global