297 coding-"https:" "https:" "https:" "https:" "https:" "https:" "I.E" "Helmholtz Zentrum Geesthacht" research jobs in Sweden
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to act as references. A brief research statement (1-4 pages) outlining your research interests, including previous work and independent research plans. Applications to be made at https://web103
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results your qualifications and ability to realise the project Where to apply Website https://lu.varbi.com/en/what:job/jobID:905213/type:job/where:39/apply:1 Requirements Research FieldReligious
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well in a research group (i.e. team work). Assessment criteria As part of the assessment criteria for the postdoctoral position, the applicant must show: High proficiency in written and spoken English
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Biophysics, Umeå University, Sweden. More information about the lab: http://www.carlsonlab.se/ Eligibility and qualifications A person who has been awarded a doctorate or a foreign qualification deemed to be
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response.' Lab website: https://ki.se/en/neuro/lopez-laboratory-neurobiology-of-stress-and-treatment-response Your mission We are looking for highly motivated candidates to join our team and work with
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climate change scenarios and their application in structural or infrastructure assessment - Knowledge of code calibration, partial safety factors, or assessment standards for existing structures
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forest growth, survival and biodiversity for the future use and conservation of forests. More information: https://www.slu.se/en/wiforce . The work aims to generate new knowledge and contribute
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Meijer ST-OFR/S, phone: +46 21-10 14 89 We decline all contact with recruiters and sellers of advertisements. We have made our strategic choices for this recruitment. Contact person URL to this page https
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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peer-reviewed publications. You will generate and structure your own code as well as use existing frameworks. Project data include biomarkers, patient-reported data, clinician-reported data, and data