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charge detection. More information can be found at: www.ftf.lth.se , www.nano.lu.se https://portal.research.lu.se/en/persons/ville-maisi Subject description QPHOTON’s aim is to design, fabricate and
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been completed earlier. Additional requirements Very good oral and written proficiency in English. Experience of programming, for example in Matlab, Python, Julia or R. Assessment criteria This is a
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with high-performance cluster-based computing Competence in computational programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git
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simulation tools, such as MATLAB and Python. Ability to work both independently and collaborate in teams. Consideration will also be given to how the applicant’s experience and skills complement and strengthen
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complemented with bulk and single cell RNAseq data from relevant tissues to investigate T2D pathogenesis and its early life programming. Read more about the research here (https://portal.research.lu.se/en
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to work independently and effectively Good command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge
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conducted implementations of algorithms and simulations using contemporary GPU hardware, or Profound knowledge and experience of the DUNE software environment (https://dune-project.org/ ) (knowledge and
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advantageous occupational pension scheme. Read more on the University website about being a Lund University employee Work at Lund University. https://www.lunduniversity.lu.se/about-university/work-lund
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degree certificates, a CV or equivalent, and any other materials you wish to submit (copies of transcripts, reference contact details, letters of recommendation, etc.). Where to apply Website https
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that you wish to invoke (grades, contact information for professional references, letters of recommendation etc). Where to apply Website https://lu.varbi.com/en/what:job/jobID:868102/type:job/where:39/apply