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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Bergen
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will be on a High Performance Computing (HPC) cluster involving the use of a range of bioinformatic software tools in addition to coding in python, R and bash. These are the main tasks: Implement
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technologies represent a convenient opportunity to automate complex code analyses and transformation to obtain improved characteristics in the output code. Modern initiatives rely on a multi-layer approach to
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developing methods to integrate large and complex molecular datasets with information at individual level, with specific attention to open and reproducible research, e.g., in the development of codes and
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interviews with refugees Transcription, coding, and analysis of qualitative data Writing of research articles to be published in international, peer-reviewed journals Dissemination of research findings
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The post is remunerated in accordance with the Norwegian State Salary Scale and OsloMet’s salary policy under code 1017 as a PhD candidate, with a starting salary of NOK 532,200 per annum. The place of work
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systematically Personal suitability We offer The annual salary for doctoral researchers (code 1017) is set at wage level 54, NOK 532 200,- in the Norwegian State Salary Scale. Advantages within the Government
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education | HK-dir . We offer Salary as a research fellow in position code 1017 (starting salary gross annual salary NOK 536,200) A good and active working environment at the Department of Physical
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NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. Salary and conditions In the position of PhD Candidate, code 1017, your gross
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the position of PhD Candidate, code 1017, your gross salary will normally be NOK 536 200,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted
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and reproducible research, e.g., in the development of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well