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and have a PhD in a field related to mathematical modeling and experience in optimizing industrial processes, this might be something for you! We are looking for a postdoctoral researcher (“PostDoc”) to
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active role in advancing the research projects of the MQS group. Our recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. We also have
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. The concept has lately gained increasing interest from researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state
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the PI or another team member per year. Organise and participate in the international conference and contribute to the editing of the resulting volume. Teach or co-teach (up to 10% of annual workload
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to the editing of the resulting volume. Teach or co-teach (up to 10% of annual workload). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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biology, biomolecular, and biohybrid materials. Requirements Recently obtained PhD (within five years) in biotechnology, molecular biology, biochemistry, or a related field. The candidate should have sound
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specifically developing and applying new technologies (e.g. mixed reality, movement- and biosensing, remote cognitive testing, mobile EEG) for studying neurodevelopmental disorders (e.g. ADHD, autism, learning
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motivation to learn new skills. Familiarity with a mathematical programming language (e.g., Matlab, Mathematica) is preferable but not essential. Independence and problem-solving skills. There is flexibility in
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learning. You will be working in the research group of one of the PIs of the projects, but in collaboration with the others. The PIs are Talayeh Aledavood, Juhi Kulshrestha, and Mikko Kivelä. About the