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understanding of experimental design and statistical analysis Experience in scientific writing A high level of independence, initiative, and problem-solving ability Excellent communication skills and a strong
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Sensor Evaluation: Design and analysis of controlled test explosions in the BedrettoLab, evaluation of seismic sensors (e.g., different types of seismometers as well as distributed acoustic sensing
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facilities in Switzerland, France, Germany, UK, Japan and the USA Data analysis and modeling will be done in collaboration with research groups that specialize in theoretical and numerical calculations Profile
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legal analysis with experimental and empirical methods. Job description The doctoral researcher will focus on the role of AI in judicial decision-making, with an emphasis on legal reasoning, behavioral
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degree in biomedical engineering, mechanical engineering or related relevant field A demonstrated and substantial experience with computational simulation methods, i.e. finite element analysis English
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related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series analysis, or NLP Excellent English; German or French is an asset
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and quantity bioaerosols To employ data analysis and bioinformatics to extract bioaerosol characteristics To apply source tracking tools to identify the sources and quantify the contributions To employ
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laboratory analysis, including generating isotopic or trace element data You have strong quantitative skills and comfort with coding, and good analytical thinking You are committed to working in
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to dissect key signaling components linking immune perception to metabolic regulation Phosphoproteomics and targeted metabolite analysis to identify metabolic switches activated during microbial exposure