25 experiment "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD positions in Switzerland
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comprehensive and innovative methods to directly test palaeoecological hypotheses using both fluid dynamics simulations and experiments, which will be applicable across the study of life on Earth. https
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mechanics, and concrete structures. Experience or interest in 3D concrete printing is also important. Additional skills, including experience in small and large-scale experimental investigations and knowledge
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into an interdisciplinary challenge Completed Master’s degree in biomaterials, chemistry, nanotechnology, or biomedical engineering. Experience in nanomaterial synthesis and characterization. Familiarity with cell culture
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-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together with the statistical grounding to reason about the models you use ● A GitHub account with code you have
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degree in atmospheric science, earth science, environmental science, chemistry, physics, or a related discipline (obtained prior to the PhD start date) The candidate will have experience in atmospheric
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that provide direct optical access to spin-physics and offer a tunability approaching that of cold-atom simulators. The Quantum Opto-Electronics Group (QOEG; https://smolenski-lab.com ), led by Prof. Dr. Tomasz
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, or a related discipline • Previous experience with T cells, primary human cells, flow cytometry, molecular cloning, or functional cellular assays is considered an advantage • Strong motivation to work
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chemistry. Practical experience in one or more of the following areas: Radiochemistry or radiopharmacy Cell biology and cell culture techniques Protein or peptide chemistry Preclinical in vivo research
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combines computational and experimental approaches to design biosensor candidates and transform them into fully functional biosensors in bacterial cells. Additionally, we will apply the newly developed
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the translation of ecological science into decision-making. Experience with quantitative analysis, modelling, simulation, or programming, preferably in R, Python, NetLogo, Julia, or comparable tools