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Post Summary We are seeking outstanding candidates for two fully funded PhD studentships to explore how natural selection has driven global disparities in disease susceptibility—through the powerful
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, to industrial catalysis and green energy production. This PhD project offers a rare opportunity to explore hydrogen surface collisions at a fundamental, molecular level to gain unprecedented insight into the role
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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Europe | 9 days ago
, PortugalSupervisors: Dr. J. Pedro (INF), Prof. L. Cancela (Iscte)Apply here: https://match.iscte-iul.pt/phd-candidates-profiles/apply-to-dc-positions/Job information:Coordinator: Iscte – Instituto Universitário de
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Technische Universität München, Physik-Department T30f Position ID: TUM -Physik-Department T30f -PHD [#27986] Position Title: Position Type: Student programs Position Location: Garching, Bayern
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We are now looking for our new PhD who will join us in our poject in ELLIIT , Linköping University. Your work assignments The selected candidate will conduct cutting-edge research on unconventional
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. Empa is a research institution of the ETH Domain. The Empa Laboratory of Cellulose & Wood Materials invites applications for a PhD student position on advanced assembly of bio-intelligent materials
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. Empa is a research institution of the ETH Domain. The Empa Laboratory of Cellulose & Wood Materials invites applications for a PhD student position on enzymatic triggered biocomposite assembly. Together
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the supervision of Dr. Robert Froese. This PhD student will address the DIVERSE project theme focused on the assessment and mapping of functional diversity and redundancy at the national scale, using remote sensing