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qualifications. Contract Type LOA If other, please specify Recruitment Type Open Position Details General Statement The Weed Ecology Lab evaluates the underpinnings supporting sustainable weed management programs
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This is a full-time research post working on a clinical trial of Strengthening Families, Strengthening Communities: Safer Lives (SFSC:SL) parenting programme for the parents of young people at risk
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2.0) program. The collaboration team includes Clarence Chang, Tim Hobbs, Dafei Jin, Yi Li, Marharyta Lisovenko, Valentine Novosad, Zain Saleem, Tanner Trickle, and Gensheng Wang. We seek highly
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Model Development Plan for future in-orbit demonstration. Further information about the Department of Electrical Engineering and Electronics can be found here: The post is part-time at 14 hours per week
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for publication and present the results in national and international conferences. You will work collaboratively with team members, support with supervision and training of students working towards programme
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designing/programming experiments, recruiting/running participants, developing and using computational modeling approaches (Bayesian, RL, neural networks) to analyze behavioral and neuroimaging data
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impact journal articles. Programming and Computing Skills: Ability to read, understand, explore and manipulate scientific data files (e.g., netCDF). Strong programming skills in a tool that allows
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 6 hours ago
in particular good command of the English language. Programming skills: Python, MATLAB, Wolfram Mathematica, EPICS etc. In addition, experience in the following areas is advantageous: Experience with X
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LSRI programme BioBeyond_NL. Bring your expertise in chemical biology, bioorganic chemistry, synthetic chemistry and passion for developing new molecular tools to study biomolecular interactions in a
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disease ethics in global health, significant relevant postdoctoral research experience and sufficient specialist knowledge in the discipline to work effectively within the research programme as outlined in