81 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions in Netherlands
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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Organisation Job description Applications are invited for a fully-funded Postdoctoral researcher position for two years in the research group of Dr Danny Incarnato, at the Groningen Biomolecular
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background and interests. Candidate Profile We are looking for candidates who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial
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applications for a fixed-term research position in statistics and data science, as part of the NWO (Dutch Research Council) project “Digital Behavioural Data to Enhance the Quality of Regional Estimates
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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) describing your scientific interests and why you are applying for this position. A cover letter (1-page max) specifying how your experience and skills match the position as well as summarizing your scientific
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, molecular inorganic chemistry and molecular materials chemistry are embedded in the institute. The research programme is focused on synthesis, catalysis, functional materials, bio-organic chemistry/chemical
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external funding; Establishing and coordinating a learning community in the field of Data Science and Healthy Lifestyles to promote knowledge sharing and collaboration. Your qualities A completed PhD in a
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interests and why you are applying for this position. A cover letter (1-page max) specifying how your experience and skills match the position as well as summarizing your scientific work. A CV including
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. Integrating HD-EMG decomposition algorithms with the CEINMS-RT musculoskeletal modeling framework to enable efficient real-time computation of joint kinetics. Developing and validating motor unit-driven