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available here . REQUIRED: PhD in Political Science, Environmental Science, Sociology, Anthropology, History, Economics, Psychology, Computer Science, and related fields earned after September 1, 2023; and
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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them in this position: distributed and cluster computing, with a specific focus on PySpark, working with large tabular data with python/R, basic principles of natural language processing and their
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for this cohort is the Future of Species Range Shifts. The program will include nine postdoctoral fellows distributed across the country, with one fellow based in each of the nine Regional CASCs . Each postdoctoral
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. Engages in open and timely discussion with Dr. Feng regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques
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30 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Researcher Profile Leading Researcher (R4) Country Australia Application Deadline 14 Sep 2025
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Application Deadline 30 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme
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Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply Applications must be submitted online. To be considered
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
CCAMLR. CCAMLR aims to manage this fishery sustainably, relying on ecosystem-based approaches incorporating data on predator population, ecosystem state, and krill biomass and distribution. The krill