Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
of the Density of Deep Silicate Melts”). Within the research group CLEAR, we endeavour to understand large-scale geological processes that operate deep inside planets. Our approach is to recreate high-pressure
-
area of expertise. Collaboration will involve joint problem-solving, the integration of data streams, and the development of decision-support tools to inform large-scale restoration policy. Your profile
-
programming languages (e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability
-
analytical methods to large data sets The possibility for contract extension Flexibility in planning working hours Advanced professional training opportunities Possibility of participation in international
-
research funding than all other New Jersey universities and colleges combined. Rutgers manages Protein Data Bank (PDB), the global archive of 3D structure data for large biological molecules (proteins, DNA
-
of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning
-
Centre (HDSC) focuses on systematically generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information enabling a better understanding of the clinical
-
experience is beneficial Experience with the analysis and interpretation of large data sets, in particular high-throughput sequencing data from eukaryotic organisms Solid skills in programming and scripting
-
multi-modal models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data. The applicant should be a creative and motivated
-
Experience with writing scientific publications Experience in working with contaminants like PFAS, PCBs and mercury, fatty acids, stable isotopes and modelling in R A talent for working with large data sets