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to further infection in prokaryotic model organisms. The RNAcious laboratory, led by Dr Peter Sarin, is at the forefront of exploring RNA-based mechanisms that modulate protein synthesis in response to abiotic
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experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS, Python is an asset ;•Excellent communication
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inferential statistics, model testing, and power analysis Desired Qualifications Demonstrated mentoring and teaching ability in the areas of statistical methods and use research-related tools Experience with
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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In this position, you will work on microscopy-integrable measurement technologies used to study three-dimensional cell culture models of breast cancer tissues. This PhD candidate position is
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to research design, data collection, data analysis, modeling, simulation, visualization, and/or dissemination efforts. Collaborates with faculty, researchers, staff, and students from varied academic and
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algorithms both in large-eddy simulations and in wind tunnel experiments with a controllable scaled wind farm model. Cooperating closely with industrial and academic partners as well as international
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-frequency simulation packages for nanodevice and circuit design and modelling. C3 Proven ability to deliver quality outputs in a timely and efficient manner. C4 Good programming skills and experience in
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high energy physics. We have a strong interest in combining physics knowledge with advanced machine learning techniques to accelerate research in beyond the standard model and dark matter physics