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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
with immediately engage in a wider collaboration within the Software Engineering group, and potentially across other research groups in the SECS Section. Your profile Applicants should hold a PhD degree
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, Belgium and Brazil. Your profile You have a PhD degree in chemistry, materials science, nanoscience, physics or biology, or a related subject and are interested in interdisciplinary research. The ideal
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synthesis, acetate production) using software such as Aspen Plus. Integrate these units into full process chains and simulate performance under varying operating conditions and CO2 feedstock scenarios (e.g
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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following qualifications: Teaching and supervision experience at the BSc and MSc level, and defined interest in the development and co-supervision of PhD students Interest and experience in developing
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a final report. Active collaboration with project partners is also expected. Your profile Applicants should hold a PhD in mechanical engineering at the time of starting the position. The selected
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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
high-impact scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, Remote
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is important that you are able to work in a team and work for the overall goal in the project. Your profile The applicant should have demonstrated excellence and have a relevant PhD degree in chemical
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling