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, and typically has about 10 PhD students. The group's primary area of research relates to numerical and computational methods for processes associated with porous materials, with a particular emphasis on
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relates to numerical and computational methods for processes associated with porous materials, with a particular emphasis on geological applications. This is the right position if you are a highly motivated
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for antibiotics against Pseudomonas aeruginosa and other Gram-negative bacteria", funded through the FRIPRO programme from the Research Council of Norway. The main objective of this project is to develop potent
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"Validating fatty acid synthesis enzymes as targets for antibiotics against Pseudomonas aeruginosa and other Gram-negative bacteria", funded through the FRIPRO programme from the Research Council of Norway
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Ability to actively communicate and co-operate within a larger research team is required. Experience with LINUX environments and analysing large datasets from numerical models is an advantage Experience
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requirements Will be considered as positive experience from relevant research projects experience with genetic epidemiology methods experience from international collaboration The applicant’s personal
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as positive experience from relevant research projects experience with genetic epidemiology methods experience from international collaboration The applicant’s personal suitability for the position is
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’ ph.d programme . The PhD programme comprises a training component corresponding to 30 ECTS, which corresponds to one semester. The remaining six months will be allocated to this formal training
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of the position will be established in collaboration with the Department. As a PhD candidate, you must participate in the Faculty of Humanities’ ph.d programme . The PhD programme comprises a training
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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