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, chemical biology, biotechnology, organic chemistry, or a related field. Documented research experience in at least one of the following areas: Machine learning or AI methods (preferably applied to biological
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electrocatalytic reactions, with a primary focus on the conversion of biomass-derived feedstocks into value-added chemicals. For further details of our approach look at: KTH | Paula Sebastián Pascua l and https
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solid interfaces using the new X-ray reflectometer is a pre-requisite for successful neutron experiments at ESS. Measurements made at lipid monolayers will be complemented by bulk solution studies using
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: Experience in research on lifestyle habits, including digital methods such as AI or tools for measuring, for example, dietary intake or physical activity; experience in data processing, including qualitative
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expression levels. Integration of molecular and cellular readouts to identify disease-driving pathways and potential intervention points You are expected to plan and perform experiments independently, analyse
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Job related to staff position within a Research Infrastructure? No Offer Description The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong research
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200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.uu.se/en/department/cell-and-molecular-biology . This position is based in Johan Elf’s research group
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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. The applicant should have a PhD in materials science, chemistry, physics, chemical engineering, or a related field. The following qualifications are considered particularly meritorious: experience in processing