Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
their main activity (work, studies, etc.) in the country of their host organization (i.e., in Austria) for more than 12 months in the 3 years immediately before their recruitment date (= earliest start date
-
/ Principal Investigators • Curate, pre-process and organise available datasets in house and facilitate and support the acquisition of data from external sources/collaborators • Interact with other
-
MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Pharmacological Sciences JOB /OFFER DESCRIPTION This two-year post-Doc position provides full data analysis of the ZEUS project (Artificial intelligence
-
on the needs of the role. While data will be collected in a face-to-face setting, blended working opportunities to work remotely as well as on campus can be considered alongside the main data collection duties
-
-hand side – “Søk stillingen” (Apply for the post). The following documents shall be attached to the online application: Transcripts and diplomas of Bachelor's and Master's Degrees (120 ECTS) Other
-
Safety, Combustion and Explosion located on Campus Porsgrunn, which is in close proximity to the industry. Qualifications Applicants to the Ph.D. position must have a Master's degree (120 ECTS
-
Dedeurwaerdere (co-promotor) EURAXESS Research fields Geography < human geography Management Sciences (other) Sociology (other) BENEFITS The positions are strongly research oriented with very limited
-
. Research at DMM is highly multi-disciplinary and uses advanced characterisation facilities. Your primary focus will be on research, characterisation, and validation of various supercapacitor devices
-
the overglycosylation of ECM collagens, reducing their stability and structural integrity. This project will use both primary and immortalised chondrocytes to determine the impact of knockout and overexpression
-
studies within the Ageing, Sarcopenia and Multimorbidity theme of the NIHR Newcastle Biomedical Research Centre. These studies involve both primary data collection (with requirement for rigorous data