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research groups at the Faculty of Educational Sciences. The study will be conducted with students at the Faculty of Educational Sciences and, if relevant during the project period, with students from other
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-time) (2) Research Associate (Full-time/Part-time) (two posts) (3) Research Assistant (Full-time/Part-time) (two posts) [Appointment period: each for twelve months] Duties The appointees will assist
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, or similar programming languages Experience in flow cytometry Prior work in translational or immuno-oncology research Knowledge, Skills and Abilities: Experience developing and executing in vitro and in vivo
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the program for a period of one year, with a second year contingent on funding, and will be paired with a primary mentor at Harvard. Training emphases include the organization, financing, utilization, quality
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with full benefits through Indiana University Dedicated mentorship toward career development, grant writing, and faculty applications Access to shared core facilities (imaging, flow cytometry, animal
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generative modeling, with a focus on flow matching and related techniques. To produce publications in top conferences and journals. To offer guidance and assistance to any students involved in the project
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the Karoo Basin (South Africa) and other exhumed systems and subsurface systems from the North Sea/NCS, to develop models of deep-marine lobe successions as fluid flow pathways and storage containers for CO2
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of Clinical Medicine, a full-time (100 %) position as postdoctoral research fellow is available for a period of three (3) years. The position is part of the project ”Cancer-neuron synapses and behavior
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of describing placental blood flow and biomechanics, and their impact on feto-placental exchange. This will involve employing tools from computational solid and fluid mechanics, finite element methods and
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: Architect event-triggered compute stacks using industry-standard orchestration tools (e.g. Kubernetes and container workflows), and to engineer loading strategies for managing highly-irregular flows of data