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Field
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curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with
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encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work
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cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience with flow cytometry and
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the internal team on advanced spintronic applications. • Monitor emerging trends in MRAM, magnetic sensors, and neuromorphic computing to guide innovation. • File patents and help build Spin-Ion’s intellectual
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on FNR’s prestigious PEARL program, and has the option for an affiliated professorship. Both LIH and DFKI pledge their full commitment to ensuring that this new position becomes a cornerstone in the
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datasets [10, 11]. It will also be tested on the autonomous vehicles of the ACENTAURI team. 3 Work Plan The work of this postdoc includes: - Studying the state-of-the-art of LiDAR-camera fusion and VLM
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Master's degree in Epidemiology, Public Health or a related field. Applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma; Experience in working
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; Participate in lab meetings and scientific discussions. Key Skills, Experience & Qualifications Education & Experience: Enrolled in a Master’s programme (M2) in biology, immunology, oncology, or a closely
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, copyrighted, or biased. By studying brain data recordings and building computational models that mimic real populations of neurons, the project aims to uncover active unlearning: how the brain learns
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
the Master’s 2 and the Graduate Programme “Materials Science” option “Innovative materials, advanced technologies and modelling”. These lessons are necessary to study the behaviour of biobased products