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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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(TBI). The research will use in vitro and in vivo mouse models. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular biology, physiology, or cerebral vascular biology. 2
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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. amino acid and lipid metabolism), signaling pathways (e.g. mTOR and nutrient signaling), and systems-level regulatory networks that regulate basic T cell and dendritic cell biology and antitumor immunity
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PhD (or thesis submitted subject to examination) in Earth or Materials Sciences with a focus on rock and mineral deformation processes Breadth of knowledge in physics of materials applied to Earth
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accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world's largest research projects, is being built in international cooperation. GSI and FAIR offer
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, physics, mathematics, computer science, or related fields Demonstrated hands-on experience with machine learning techniques Strong programming skills (Python preferred) Experience analyzing time-series data
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systems and techniques including novel mouse models of metastasis, patient-derived samples, in vitro co-culture systems, molecular biology, multi-omics, and advanced microscopy approaches. The Labelle lab