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steelmaking technologies (e.g., Direct Reduced Iron with hydrogen) and exploring long-term transition pathways through prospective LCA. It will evaluate multiple environmental impact categories, identify
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innovative steelmaking technologies (e.g., Direct Reduced Iron with hydrogen) and exploring long-term transition pathways through prospective LCA. It will evaluate multiple environmental impact categories
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environment. Job requirements We are looking for an outstanding and creative researcher with a strong affinity to work at the boundary of multiple disciplines, namely biomedical research, organ and cell biology
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Biology, Neuroscience/(neuro-)immunology, or related fields; preferably experience with big data and omics analyses and coding (e.g. python, R); affinity and experience with performing animal experiments
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(e.g. python, R); affinity and experience with performing animal experiments; experience with classical biological methods (e.g. dissections, immunohistochemistry, western blot, PCR, in vitro assays
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, or are there multiple distinct strategies and mechanisms? As a PhD candidate, you will systematically study inter-individual variability in behavior and brain responses, using both online and lab-based paradigms
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, with three other modeling-focused PhDs who will work at different scales of assessment. This work is embedded into a larger team of PhDs, who are collecting data, working on multiple topics, from ecology
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include: Conducting innovative research and developing proof-of-concept designs, collaborating with sensor providers and other potential collaborators; Writing multiple research articles, collectively
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies