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infrastructure that supports world-class science in Switzerland. To achieve this mission, multiple specialized engineering teams must collaborate effectively, utilizing a dynamic set of processes and tools
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, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models
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their supervisor and from colleagues/collaborators motivated for independent literature reading and generating testable hypotheses diligent in documenting their work - both lab work as well as bioinformatic work
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sequencing, single-cell, and spatial data. As a Senior Bioinformatics Analyst, you will play a key role in designing, executing, and documenting analytical workflows while applying scientific rigor and best
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of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and
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a PhD or equivalent in Bioinformatics Computational Biology Computer Science Applied Statistics or a related field a substantial postdoctoral or equivalent experience developing and applying
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(preferably Python), multiple years of programming experience as well as profound knowledge of professional computer-aided design and 3D modelling In addition, you have experience in CAD/CAM (preferably McNeel
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computational systems for interactive design, geometry processing, spatial computing, creativeAI, and computational fabrication. Project background We are seeking a curious and motivated PhD student to join the
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CAD packages (Autodesk Revit, Archicad and cadwork3d) and work in a multi-disciplinary team of software engineers, architects, computer scientists Your projects will include multi-disciplinary
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and outbound prospects related to any outreach and sales activities for SNAI. Devise and implement sales formats enabling multiple prospects to engage with SNAI offerings in parallel (thematic events