Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
-
utilization, adapt or modify algorithms to run more efficiently and consult, train and support our users on best practices along those directions. You are expected to take a holistic approach considering
-
, and integrated analysis. The team runs an excellent open source based software environment and establishes state-of-the-art data analysis concepts and algorithms. Job description The bioinformatician
-
proven experience in FPGA programming and high-speed electronics circuit design and testing. Experience in quantum information processing and quantum communication algorithms, as well as fiber optics
-
integration of existing components for high throughput data distribution between HPC data centers, software systems and telescope instrumentation, particularly focusing on the digital correlator and science
-
) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
-
using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
-
, environment, society and health as well as health systems and interventions. The Department of Epidemiology and Public Health (EPH) investigates distribution and causes of infections and non-communicable
-
develop and apply computational approaches to identify policy strategies that are politically feasible and compatible with changing land-use demands, while also considering the distributional impacts
-
sharing, and biodiversity policy implementation Investigating how decentralized or distributed data infrastructures can enable more equitable, transparent, and resilient biodiversity governance Engaging