110 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"Inserm"-"SUNY" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
-
laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
-
development. The Project Hub supports ETH-led missions and technology programs with systems engineering, project management, and PA/QA capabilities. The Innovation Hub accelerates early-stage, high-risk
-
machine learning techniques. Programming skills in Python and relevant ML frameworks (TensorFlow, PyTorch), experience with version control systems (e.g., Git). Strong publication record in reputable
-
management systems (e.g., openEdx) and familiarity with the concept of Open Educational Resources (OER); applying best practices in scientific programming (e.g., automated testing and version control
-
and contributor community; oversee communication and engagement via internal and external channels. Plan and supervise maintenance, sustainability, and compliance activities. Profile PhD or Master's
-
scientists and engineers. Project background Among other activities, ETH Zurich | Space is building the “Project Hub” that supports ETH-led missions and technology programs. One of the missions that is
-
such as Stata, R, and/or Matlab Collecting data using web scrapers and data providers like Macrobond Coding in R or Matlab on data analysis and macroeconomic forecasting Programming surveys with Qualtrics
-
they are setting up or consolidating their own research team or programme. The MSCA (Marie Skłodowska-Curie Actions) enable cross-border mobility and thus support researchers at all stages of their careers. Swiss
-
linking ML, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML