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on the valuation of water from an economic, environmental and social perspective, will use cost-benefit analysis to assess investments in water infrastructure and common facilities and facilities on agricultural
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line and on the transfer of results Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50461 Requirements Research FieldChemistryEducation LevelPhD or equivalent Research
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of the Protein Evolution group at the Department of Experimental Medical Science, Lund University. Her research group works with computational sequence and structural analysis of microbial genomes and proteins
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for Static and Dynamic Analysis of Advanced Structures Where to apply Website https://careers.polito.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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Duration: 3 months Maximum Duration Including Renewals: 3 months Objectives To develop a model for the analysis of the deployment of 5G future railway mobile communications systems in tunnels by analysing
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into the common data model. Conduct advanced statistical analyses and epidemiological studies on RWD. Collaborate with the Research Coordinators and Project Managers to define analysis plans and ensure data quality
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, extraction, and clean-up; iii) detecting and identifying contaminants using LC-HRMS; iv) performing semiquantitative analysis; and v) applying effect-directed analysis (EDA) to link chemical presence with
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preclinical studies involving radiopharmaceuticals for diagnosis and radionuclide therapies (in vitro uptakes, in vivo biodistribution, therapeutic efficacy), - Improving image analysis workflows to extract
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. This position is ideal for someone interested in clinical research, health data analysis, or digital health applications, and who wants hands-on experience working at the intersection of clinical medicine and AI
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 13 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological