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Engineering Electrical Engineering Mechanical Engineering Physics Neuroscience Computer Science Chemistry or a closely related field Ideal candidates should possess several of the following: Excellent academic
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of various weather and climate shocks and input the estimated impacts into the model. To this end, the doctoral candidate will leverage theoretical, computational, and econometric tools to study public policy
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(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and
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The Department of Health Sciences and Technology (www.hest.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The focus of this new professorship will be on the development of new diagnostic and prognostic methods (biosensors, biomarker analytics, artificial...
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20%-40%, Zurich, fixed-term ETH Zurich is one of the world’s leading universities specializing in science and technology. It is renowned for its excellent education, cutting-edge research, and its efforts to put new knowledge and innovations directly into practice. ETH Zurich Space boosts space...
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are the MaP Doctoral School and ETH Sabbatical | CAS AMaP continuing education programme. To lead the executive office as the central coordination hub, MaP is currently hiring a new Executive Director
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, mineralisation assays, or osteoclast activity assays. Experience with computed tomography, image analysis, Python-based data analysis, or quantitative data analysis would be an additional asset. Candidates should
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immunostaining, microscopy, gene expression analysis, cytokine profiling, mineralisation assays, or osteoclast activity assays, would be advantageous. Experience with computed tomography, image analysis, Python
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enhancement Profile Master's degree in engineering, physics, applied mathematics, computer science, or closely related field Strong background in mathematics and machine learning Programming proficiency in
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in complex communities. The project combines experimental and computational approaches, including high-throughput sequencing, bioinformatics, microbial isolation and cultivation, physiological