118 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"UCL"-"https:" positions in Switzerland
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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
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the future your field of activity might also include application of our cutting-edge Simulation environment Software MORe www.more-simulations.ch. Your Tasks Plan and perform experiments (DoE) in a laboratory
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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
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programming will be considered and advantage. We are looking for a highly motivated team player that is curious to learn new things, is self-motivated, and has excellent English communication and writing skills
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application. We work with a very strong experimental focus and our researchers plan, design, construct, build, commission and automate novel setups and voltage/current sources dedicated towards the research
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, or related fields, as well as a strong research interest in (Spatial) Machine Learning Strong programming skills are required. The candidate must have excellent communication skills in English (oral and
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to the practical supervision of undergraduate and Master’s students through assisting in laboratory courses and semester projects. As a Research Assistant, you will be expected to plan and conduct experiments
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-current-actuated regulation, electromagnetic programming of wireless expression, andclosed-loop systems, we aim to translate these technologies into clinically relevant, minimally invasive therapies
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integral partof your work, you will publish your results in peer-reviewed journals and present them at international conferences. Profile You meet the requirements for a doctoral program at ETH Zurich and
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. Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.) Experience programming in R