Sort by
Refine Your Search
-
vehicles. Another research focus is on solid-state pulse modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various
-
sensors and usage logs using advanced statistical and machine learning approaches to develop personalised nudging and adaptive interventions. The candidate will also lead the development of a cross-platform
-
, or design for manufacture is a plus. Programming and image-analysis skills, preferably in Python, and an interest in computervision, image processing, or machine learning. Experience with cameras
-
; How you would handle longitudinal data and missing values; Which statistical and/or machine-learning methods you would consider How you would validate and interpret the results. No actual analysis is
-
., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental research and, ideally, prior experience in VR research. The project duration
-
build highly coherent quantum machines capable of creating massively entangled quantum states for computing, simulation, sensing, and metrology. Project background Neutral atoms are one of the most
-
virtual environments Strong quantitative skills (R, Python, or Stata; experience with machine learning or advanced experimental methods is a plus) Familiarity with VR-related toolkits (e.g., Unity, Unreal
-
science methods for nowcasting, high-frequency indicators construction, machine learning, time series econometrics and maintains the data and tools that feed the regular KOF macroeconomic forecasts. Job
-
., at Paul Scherrer Institute) Fabricating thin-film devices in a cleanroom and performing electrical and transport characterization Using first-principles calculations and machine-learning foundation models
-
of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification