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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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Description The International Max Planck Research School for Biology and Computation (IMPRS-BAC) is now recruiting doctoral candidates for a start in 2026. We seek exceptional graduates from
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degree / double degree programme No Description/content The PhD programme East Asian Studies consists of a three-year course and a one-year writing phase (four years). GEAS combines social science methods
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Degree PhD; Dr rer nat; Dr rer biol hum; Dr med Course location München In cooperation with Stiftung Patient & Klinische Pharmazie Teaching language German English Languages The programme is mainly
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
career in science and/or industry A comprehensive training program, including soft skills, along with an flexible working hours and various opportunities to reconcile work and private life Flexible working
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modellers, molecular biologists and data scientists across IBG-3 and IBG-4 Communicate your science by presenting at conferences, publishing software and peer-reviewed publications Your Profile: Master’s
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strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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28.11.2024, Wissenschaftliches Personal Three funded PhD student positions are available at the Chair of Plant Systems Biology at the School of Life Sciences of the Technische Universität München in