114 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"Fermilab"-"Naturalis" "VIB" positions in Switzerland
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
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the ability to independently drive projects from concept to completion. Bonus Qualifications: Experience with Gaussian Splatting. Familiarity with CUDA, compute shaders, or other GPU programming
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-quantitative methods for decision support for sustainable innovation. Your tasks With the PhD work, we plan to adapt and advance the SSbD framework in the area of green electronics, with a special focus on bio
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: program surveys in Qualtrics; create documentation such as questionnaires, codebooks and technical reports; support the teams with data analysis and reporting to third party stakeholders such as SBB or AMAG
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laboratories and in data analysis. Prior experience in nanofabrication, nano- and meta-optics, optomechanics, vacuum technology, programming for experiment control is highly valued but not mandatory. Workplace
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familiar with, or willing to learn, a behaviour experiment creation framework, e.g. PsychoPy or jsPsych You have good programming skills with HTML, Javascript and Python You are encouraged to experiment
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analysis, and radioactive material behaviour is a plus. Good knowledge of programming languages (C++ and Python). Independent, self-driven, creative, and solution oriented. Strong written and verbal
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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content. You will also compile the event program booklet. In this role, you will maintain regular communication with your colleagues at CEMETS and the Chair of Education Systems. The position is starting as
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of research funding and policy. You will collaborate with leading researchers, research programme managers and policy experts and contribute directly to the effectiveness of the ERC’s evaluation processes