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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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, reports, or publications strongly preferred. Working Conditions Lab environment. Ability to stand for extended periods. Ability to use computer for extended periods. Application Documents Resume (required
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proficiency and the ability to manage multiple priorities in a collaborative research environment. If you are detail-oriented, motivated, and interested in contributing to impactful oncology research within
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biology, preferred. Background in immunology or cancer biology research preferred. Experience with mouse colony management and mouse experiments in vivo is highly preferred. Computer literacy with
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/admittance, force control Experience with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g
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Abilities Strong quantitative and programming skills (e.g., MATLAB, Python, R). Solid background in signal processing, statistics, or computational neuroscience. Excellent written, verbal and computer skills
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of decision making, and to the collection and analysis of field and laboratory data to test those models (see https://www.ferdinandvieider.com / for examples of past and current projects). WHAT WE ARE LOOKING
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: Previous lab experience working with tissue culture. Previous lab experience working with protein expression and purification. Skills Written and verbal communication skills. Computer skills, data management
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team and be computer literate with excellent communication skills. This is an exciting opportunity to join a multidisciplinary team working across the Department of Respiratory and the Division
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performance management system. Physical Requirements (With or Without Accommodations): • Visual acuity to read information from computer screens, forms and other printed materials and information. • Able