Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, investigate error mitigation techniques Cooperate and actively work with international collaborators Your Profile: Master’s degree in physics, mathematics, or computer science Strong interest in both developing
-
Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design
-
monitoring. These applications rely on remote sensors to capture PCs and wirelessly transmit them to edge servers for downstream tasks, such as registration, i.e., aligning multiple PCs within the same 3D
-
, sexual orientation or physical abilities. About CWI Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and is part of the Institutes
-
for mathematics and computer science and is part of the Institutes Organisation of the Dutch Research Council (NWO) . The mission of CWI is to conduct pioneering research in mathematics and computer
-
disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please
-
perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR
-
with high-dimensional, often noisy, data sets; and mathematical modelling approaches that reduce the dimensionality of parameter spaces and produce mechanistically realistic, experimentally testable
-
Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 20 hours ago
condensed matter physics. We are looking for highly talented and motivated students from all around the world to join our affiliated research groups. Multiple PhD positions will be awarded on a competitive
-
”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case