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100%, Zurich, fixed-term We are seeking a skilled engineer to join the Apertus post-training effort. The ideal candidate will develop, run, and evaluate the SFT and reinforcement learning pipelines
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neurons regulate dendritic-cell and T-cell function neuronal sensing of inflammatory and tumour-derived signals neuropeptide and neurotransmitter regulation of anti-tumour immunity neural control of immune
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The research fellow will work for the Risk & Resilience Initiative. The initiative is led by Prof. Florian Hoos and based on strong collaborations with Prof. Sophie Bacq and Prof. Karl Schmedders as well as a
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the project's research questions. This includes: Preparing and managing linked micro-level datasets (cleaning, merging, quality checks) Conducting descriptive analyses of administrative and survey data Running
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part of an SNSF Ambizione grant led by Dr. Livius F. Muff, hosted in the group of Dr. Luciano Boesel at Empa. The work will primarily be carried out at Empa St.Gallen under the direct supervision of Dr
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department, see www.unifr.ch/math. Applications should contain: - letter of motivation - curriculum vitae - list of publications - concise statement of research - names and addresses (including email) of 3
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program, we are seeking a motivated and experienced technician to assist with mouse work, surgical procedures, and primary neuron culture. Main duties and responsibilities • Mouse husbandry and colony
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structure Implement data-ingestion and similarity-matching logic that completes missing component information (GNN) Build a lightweight web interface: data upload in, ranked results out Work independently
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ability to work collaboratively across research, engineering, and operations teams. Project background The Apertus project, a joint effort between EPFL, ETH Zürich, and CSCS, is seeking a practical and
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system serving as a real-world lead-optimization case study. The successful candidate will play a central role in the computational and AI components of the project and work closely with our international