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independent research aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as
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for this position is $72,879.00-$121,465.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not
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decision. Completion of your doctoral degree within the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier. The applicant must have a
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computational efficiency Model thermal system design, operation, and maintenance scenarios to support optimization and decision-making Analyze and improve performance of HVAC, water heating, and data center
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 12 days ago
falling outside this scope will be processed on the basis of consent (Article 6(1)(a) of the GDPR), which may be withdrawn at any time. The legal basis for data processing is labour law: Articles 22[1] and
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and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and
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). FLSA Exempt Grade Salary Details Minimum Salary 20,000 Mid Range Salary 90,000 Maximum Salary 200,000 Offer Information The final salary offer may be determined by several factors, including, but not
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laboratory records, analyzing data from a diverse range of measurements, and preparing presentations and manuscripts for meetings, conferences, and publications. The ability to work independently, handle
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, including enhancements to the technical or methodological aspects of the project Determine appropriate methodologies for research Assess research findings for the need/scope for further investigations
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and genetic determinants underlying bacteria-phage interactions in Bacteroidales. In particular, we have high-resolution LC-MS capabilities (Revident qTOF) that allows us to study the biology of