41 phd-computer-forensics Postdoctoral positions at Chalmers University of Technology in Sweden
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will be run in the Division of Computer Networks and Systems within the Department of Computer Science and Engineering . Within the Division we have four faculty members, four postdocs and eleven PhD
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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project Participate in teaching activities Qualifications You have a PhD degree in a field related to High Performance Computing or Computer Architecture. You are highly motivated, self-propelled, energetic
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techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree (Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or
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computational modelling techniques to enhance metabolic research! Qualifications: PhD degree in biotechnology, biochemistry, computational biology, microbiology, or a related field. Fluency in both verbal and
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join us in pioneering innovative computational modelling techniques to enhance metabolic research! Qualifications: PhD degree in biotechnology, biochemistry, computational biology, microbiology, or a
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innovative computational methods for interfacing nanodroplets with catalytic particles. This work aims to enable the conversion of methane and nitrous oxide—potent greenhouse gases—into benign and value-added
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ongoing research projects Supporting the supervision of PhD students and postdocs Contributing to project management and proposal writing Research environment You will be part of the Communication Systems
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Physics Division that hosts the Langhammer Group provides further relevant information. Who we are looking for We seek candidates with the following qualifications: A PhD degree in physics. An experimental
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning