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Field
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the analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
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aerosol inlet and a FUSION CIMS to analyze the particle-phase organic composition onboard the Zeppelin from 2027 onward Analyze large multi-dimensional datasets using statistical tools such as positive
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include
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ptarmigan, black grouse and capercaillie populations. This will be done through a properly designed large scale randomised controlled experiment, making the study exceptionally useful in terms of drawing
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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problems in health data science. Air pollution is composed of several different environmental pollutants, for example particulate matter (PM10 and PM2.5), ozone (O3), nitrogen dioxide (NO2) and sulphur
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• Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental research designs, survey design, large/longitudinal datasets
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• Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental research designs, survey design, large/longitudinal datasets
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solving. Diverse research areas: Work on numerical models, analyzing large data sets, statistical methods and more in a unique scientific environment. Who Should Apply? Emphasizing the physical system
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, including: Genomic technologies – hands-on experience in long-read sequencing and variant interpretation Bioinformatics – pipeline development, visualisation, and statistical modelling PRS – applying big data