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postdoctoral fellow position in the Ponce Lab at Harvard Medical School in Boston, Massachusetts. The work of the Ponce Lab is focused on how populations of neurons in the primate visual system encode and
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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations
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Contact Email rkeely@g.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 2 months ago
of multi-disease sero-surveillance assays with technical refinement, quality control, and training of collaborating partners. Successful candidates must have a postgraduate degree, ideally a doctoral degree
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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Max Planck Institute for Comparative Public Law and International Law, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 27 days ago
English; command of German or French is an advantage Versatile team player, able to handle deadlines Experience with matters of technology and critical infrastructure are a plus. Conditions of employment
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, biogeochemistry, or a closely related field, with experience in field measurements, modelling, or both. Special emphasis of this postdoctoral position is to develop a focused and affordable measurement concept
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structured and handle a heavy workload having a good command of both oral and written English via Unsplash Requirements for competence in English A good proficiency in English is required for anyone attending
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hybrid work agreement. The salary range for this position is $65,000 - $75,000 per annum, plus benefits. The primary goal of the CMMI is to develop an integrated multi ‘omics platform to investigate
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models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical