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Field
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methods (cf. "matrix hydrodynamics") along the lines recently developed at the mathematics department. Who we are looking for The following requirements are mandatory: To qualify for the position of postdoc
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control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
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services or other similar circumstances, as well as clinical service or service/assignment relevant to the subject area. We are seeking candidates who meet one of the following criteria: A PhD in Software
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appropriate treatment—ultimately saving lives. We are particularly looking for applicants with experience in prediction models and biomarker evaluation, causal inference, longitudinal methods, survival analysis
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met no later than the time the employment decision is made Strong written and verbal communication skills in English Experience in hydrometallurgy, chemistry and analytical methods. You are expected
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS
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fidelity is experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library
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and engage closely with farming communities and partners in Europe. Your profile REQUIREMENTS: PhD in agroecology, environmental science, agricultural systems, or a related field. Proven experience in
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will involve various materials and electrical characterization methods (potentially including electrochemistry, multiple microscopy modalities, optical and IR spectroscopy, rheology) as well as surface
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experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library preparation in