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Your position You will become part of an international research group in an English-speaking environment. We pursue a range of topics in econometrics, statistics, data science, and stochastic models
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Research Associate in DAO ResearchOpen Position: Research Associate (PhD Student)Start Date: Flexible (target Q3 2024)Duration: Yearly Contract, up to three yearsOverviewDecentralized autonomous organizations (DAOs) represent a paradigm shift in organizational structures, moving away from...
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(SNSF) and is a collaboration between LESE and groups from the Chemistry department of ETH Zürich (Prof. Christophe Copéret group), University of Zurich (Dr. Iannuzzi group) and the Paul Scherrer
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(Empa, ETH Zurich, University of Zurich, Iberian Nanotechnology Center), we explore magnetic nanographenes with specific magnetic ground states and excitation spectra. You will focus on the fabrication
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analysis, programming and statistical evaluation Implementation of established and development of new workflows for biomarker identification from omics datasets (proteomics, metabolomics, Raman) Combining
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» Statistics Physics » Biophysics Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 11 Jul 2024 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week
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analyze the data. Your task will be to correlate biomarkers derived from rTMS and NIRI with clinical outcomes, in order to personalize stroke rehabilitation and improve the recovery process. Statistical
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, Neuroscience, Cognitive Sciences, or related fields. Desired: Experience developing computer graphics or virtual reality experiences. At ease with topics such as behavioural psychology, statistical analysis
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participants Data collection with adolescents and monitoring of ambulatory assessment Data processing and statistical analysis Presentation of scientific results in internal meetings, at national and
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of subclinical ketosis using exhaled breath. Your tasks: • Planning and carrying out feeding experiments with dairy cows • Working in an interdisciplinary team • Preparation and statistical analysis of the data