45 parallel-computing-numerical-methods research jobs at University of Bergen in Norway
Sort by
Refine Your Search
-
communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities' PhD Program pt. 2.1 . Applicants must
-
for applying methods to real-world problems is considered an advantage. A strong international network is considered an advantage Personal and relational qualities will be emphasized. Research experience
-
groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis, critical algorithm studies, ethnography and
-
will be considered an advantage. A demonstrated interest in and talent for applying methods to real-world problems is considered an advantage. A strong international network is considered an advantage
-
, or experiences and understandings amongst different groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis
-
of this Norwegian Cancer Society project. Both standard and advanced methods in molecular biology and cell biology are needed to carry out this project. Thus, the researcher is expected to act as self-driven
-
. The position is for a fixed term of 3 years and is associated with the Computational Biology Unit (CBU, https://cbu.w.uib.no/ ), financed by University of Bergen. The position is open to an incoming candidate
-
before 01.08.2025. It is a condition of employment that the master's degree has been awarded. Experience working with intermediate to advanced remote sensing data and methods is a requirement regardless of
-
. The candidate will work with state-of-the-art analytical instrumentation, generate extensive experimental data sets and analyze them using advanced bioinformatics methods. The work tasks include to: Generate and
-
to identifying and interpreting trends in regional-to-local scale signals and extreme events. Large ensembles of climate simulations are a key tool in such applications, but the computational cost of producing