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University. We use animal models of chronic stress to investigate the role of the immune system in psychiatric diseases. Our research investigates how innate immune signaling and inflammation shapes brain
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. Please indicate “Application – Postdoctoral position in bacteriology and molecular microbiology” in the subject line. Applications will be reviewed on a rolling basis. Only shortlisted candidates will be
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how processes such as mass transfer, tidal interactions, and angular momentum exchange influence stellar evolution at the population level Both researchers will play a leading role in their respective
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, Antennas and Optical Networks, Systems and Control, Signal Processing and Biomedical Engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as
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cancer research, androgen receptor (AR) signaling, or RNA biology (mRNA splicing, polyadenylation, or antisense oligonucleotides). Experience with next-generation sequencing libraries/analysis (RNA-seq
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languages (such as advanced type systems and functional logic programming) to bridging the gap between ad hoc array processing and formally verified functional programming using interactive theorem provers
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Selection process Evaluation procedure Applications will be evaluated by a three-member evaluation committee. In case of interview procedure, applicants will be invited to participate in person
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
found here: https://www.energy.gov/cmei/office-critical-minerals-and-energy-innovation About this Opportunity The selected fellow will join the Energy Sector Industrial Base (ESIB) Team within
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high-dimensional