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a bonus but not a requirement Be interested in the intersection between Chemistry, Physics, and Mathematics Be interested in theory, numerical simulations and experimental implementation of pulse
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Your position Our knowledge of climate variability in SW Asia remained fragmentary due to scarcity of precisely-dated and highly-resolved paleoclimate and paleoenvironmental reconstructions. One of the main goals of SNSF Sinergia project MITRA is to develop such records. Both PhD-students will...
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13 Apr 2024 Job Information Organisation/Company Empa Research Field Biological sciences » Biology Biological sciences » Other Chemistry » Physical chemistry Chemistry » Other Mathematics
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of Prof. Isabelle Marthot-Santaniello (Department of Ancient Civilizations) and of Prof. Ivan Dokmanić (Department of Mathematics and Computer Science ) with support from the Center for Data Analytics (CeDA
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Chemistry » Biochemistry Chemistry » Structural chemistry Computer science » Modelling tools Neurosciences » Neurophysiology Neurosciences » Neuroinformatics Neurosciences » Neurobiology Mathematics » Applied
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for a doctorate at ETH Zurich Previous experience in solid-state NMR is a bonus but not a requirement Be interested in the intersection between Chemistry, Physics, and Mathematics Be interested in theory
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, mathematics, sustainable development or related disciplines, be fluent in English, and be interested in pursuing an academic career. They should be willing to collaborate with members of the research team in
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, computer science, or related fields. This includes, but is not limited to, psychology, mathematics, engineering, physics, or statistics. Geographical Eligibility: We are seeking candidates who are currently
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Skills/Qualifications Your profile Higher education in nuclear engineering, mathematics or data science Programming and scripting skills, specifically under Linux / Unix environment Experience in machine
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering