40 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Leibniz in Germany
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machine learning algorithms Strong communication skills and ability to work in interdisciplinary teams Fluency in spoken and written English We offer: A dynamic and interactive research environment as
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the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the
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: active learning (uncertain cases first), smart sampling, confidence thresholds, gradations (auto-label/review/manual), measurement and decision logic for throughput vs. quality. Proficiency in programming
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machine learning techniques or computational methods for text and data analysis is appreciated The working language of our research team is English; therefore, proficiency in English is essential. While not
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processing methods, mechanistic computer models and software tools and to use them in highly relevant clinical, biotechnological and pharmaceutical applications at the forefront of research. All projects
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to work on policy instruments for climate change mitigation knowledge of R and/or Python for conducting econometric analysis or text analysis (or an interest in learning) high diligence and strong attention
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(FIJI/ImageJ etc.) Ability to work independently and to supervise interns and undergraduates Excellent English (in speaking and writing) and computer skills, knowledge of German is a bonus, but not
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, covering the involved actors and political dynamics on both sides, escalation risks and the military balance of power Collaborating on the development of conflict scenarios for an AI-supported scenario
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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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Coordinating and instruct a practical course for BSc Biochemistry students and supervise MSc students in the lab Your qualifications: PhD in Biochemistry, Biology or Life Sciences Strong motivation and a genuine