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experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly
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Regular/Temporary Regular Job Code 9521 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job Graduate Assistantship, RIDGS Ethnic Studies Initiative (50% Academic
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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working on NLP for medical applications (see German version below / siehe unten für Deutsche Version) . Your Responsibilities Conduct applied research at the intersection of Natural Language Processing (NLP
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, natural hazards management or related fields Interested in protective forests and their management Good quantitative skills (e.g., data analysis, simulation modelling, remote sensing) Good communication
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high-ranking journals or in international conference proceedings. Most importantly, you should be curiosity driven and willing to constantly learn new things! Language Skills: Fluent written and verbal
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) writing and oral communication skills in English. You are someone who can work independently, but also a team player who enjoys working in a multidisciplinary team. In our international working environment
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, pro-environmental communication, and nature and mental health • Internal further training & coaching: Opportunity to deepen your skills, including statistical methods skills, on an ongoing basis
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the nature of their photoexcitations, can be tailored by employing external stimuli such as local fields. In this IRTG, you will be part of an international and diverse team working on both, organic and
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, including your letter of motivation, CV, and academic transcripts of records, preferably in English. Please indicate “SAW-OA-PoC Application” in the subject line. For any question, please contact: Prof. Dr