Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
surveys, in-person interviews, focus groups, etc.) and practicalities of implementation required. · Effectively utilize software necessary to convert and process data (e.g. SAS, SPSS, Excel, Access
-
research in the field of quantum computing; have strong analytical and mathematical skills; program research-level software; take part in ongoing educational activities, such as assisting in courses and
-
2000 undergraduate majors. The department boasts multiple state-of-the-art core- units with full-time staff. The core facilities include those focused on mass-spectrometry (MS)-based analyses (e.g
-
2000 undergraduate majors. The department boasts multiple state-of-the-art core facilities with full-time staff. The core facilities include those focused on mass-spectrometry (MS)-based analyses (e.g
-
collection setup and data acquisition. •Training in ecological field identification. •Initial model training and software prototype development. Year 2: •Expanded image collection across multiple sites. •Model
-
privacy standards. As part of the ProtAIomics MSCA Doctoral Network, you will collaborate with top proteomics research scientist and participate in multiple trainings and summer schools. At DTU you will
-
collect data from experiments. This may involve: Conducting literature reviews on relevant topics Analyzing and interpreting data using statistical software for quantitative analysis Preparing the code
-
and evaluation of interactive systems, adaptive and personalized interaction, and context-aware systems, applied across multiple domains including healthcare. Aphasia is a language disorder, often
-
, boosted by AI-data augmentation for extrapolating spectrum patterns from multiple sources. To design a scalable computing framework using a physics-informed neural network for distributed spectrum analysis
-
bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive