34 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD positions at Leibniz
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information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden, Germany, offers a PhD position (m/f/d) on the topic: Precursors
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an interdisciplinary environment, very good communication skills in English; willingness to acquire German language skills is expected and will be encouraged Desirable skills PhD in biodiversity informatics
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information at: http://www.ifw-dresden.de . The Institute of Metallic Materials at the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden) offers a PhD-student-Position (m/f/div
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The Leibniz Institute for Neurobiology (LIN) is an internationally recognized neuroscientific research institute and dedicated to the research on learning and memory. Our research comprises all
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot, Marvin Wright, Vanessa Didelez), and etiologic and molecular epidemiology (Konrad Stopsack
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward
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Psychology, Neuroscience, or a related field Very good methodological and statistical skills Very good command of English (written and spoken) and willingness to acquire proficiency in German within the first
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: Dr. Phil Richter (p.richter.leibniz-lsb(at)tum.de ) or Prof. Dr. Veronika Somoza (v.somoza.leibniz-lsb(at)tum.de ) More information on the working group can be found here: https://www.leibniz-lsb.de
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of self-motivation to achieve a doctorate Analytical, creative and solution-oriented mindset Strong interest in familiarising yourself with new topics and learning complementary biophysical techniques