53 parallel-computing-numerical-methods research jobs at University of Bergen in Norway
Sort by
Refine Your Search
-
design using computational methods Organic synthesis MD simulations Knowledge of a scripting language The candidate must demonstrate a structured approach to work, a strong commitment for hit discovery and
-
publication of research or research 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
-
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
-
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
-
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
-
, 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
-
. 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