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: 29.07.2025 Limitation:Temporary (2 Jahre, Verlängerung angestrebt) Contract:TV-L Your tasks Single-cell multiomics in primary cells: wet-lab experiments and performing bioinformatic analyzes on the single-cell
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back-end integrated circuit design. Additionally, you will have access to substantial computing resources to develop and experiment with LLMs. Key responsibilities As a Ph.D. candidate, your primary
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: The main place of work will be at our campus in Halden, but some presence at our campus in Fredrikstad may be expected. Project description Project title: My AI Co-worker: Exploring AI for Computer Supported
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university degree (Master's/Diploma) in biology, food chemistry, biochemistry, biosciences or a related subject area sound knowledge in the fields of plant cultivation and/or plant nutrition experience in
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are offered at Bachelor, Master and PhD levels, spread out on five campuses Førde, Sogndal, Bergen, Stord og Haugesund. Our ambition is to build stronger and more solid academic and research environments
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scientific publications) Copy of diploma for both bachelor and master education and relevant certificates Copy of the applicant’s master’s thesis as a PDF file The project outline should include a progress
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The principal investigator for this project is Dr Mohammad Hirzallah. Dr Hirzallah's research applies novel technologies to study brain physiology in
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The principal investigator for this project is Dr Mohammad Hirzallah. Dr Hirzallah's research applies novel technologies to study brain physiology in
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biocompatibility and a high surface area for bioelectrochemistry. Your main contribution in this project will be the design and microfabrication of the 3D carbon electrodes, exploring processes such as
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data