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, Biomedicine, or Computational Systems Biology. Experience with NGS data or single cell-sequencing analysis is required. Competence in adipose tissue biology, cell culture work or mouse physiology would be
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closely related field Strong background in analog and mixed-signal CMOS circuit design Familiarity with biomedical signal acquisition (especially EEG) is highly valued Experience with standard IC design
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Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
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reporting in English Creative, proactive and independent thinking Prior experience in research in the form of student projects, and capability to work in an interdisciplinary manner are a plus. The successful
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experience with: Signal processing Experimental design and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken). Have high self
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and be able to work as part of a team to achieve ambitious goals Teach and co-supervise BSc and MSc student projects Potentially participate in Arctic field campaigns We expect that you have: Experience
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Engineering or in Software Architectures. The ideal candidate has an MSc in Computer Science, or equivalent, and experience in at least one of the following areas (acquired, for example, by conducting the MSc
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research environment with close interaction between experimental and theoretical activities. You will join a thriving community of researchers and benefit from a strong network of international collaborators
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at least one programming language (preferably Python) and experience with AI applications in manufacturing are expected. A motivated, collaborative person who is able to work in an international and