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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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-October 2025. During the pre-selection, interviews may also be held on-line. Information For more information about the programme and the doctoral studentship, contact prof. Martin Ebers, martin.ebers
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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the position, contact Prof. Eva Särndahl, +46 19 30 3684, e-mail: eva.sarndahl@oru.se , Dr. Andi Alijagic, +46 19 30 2342, e-mail: andi.alijagic@oru.se , or Head of Unit Dr. Wessam Melik, +46 19 30 1307
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comparison. Thus, this project will deliver an evidence-based decision support to forest stakeholders and policy makers. About the position The postdoctoral candidate will join the research group of Prof
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, and spatial genomics. Supervision by leading scientists: Prof. Sven Nelander, expert in systems biology and tumor modeling (Uppsala University; main supervisor) Prof. Rebecka Jörnsten, professor in
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. Familiar with robotic control systems, perception, and kinematics. Comfortable working in Linux environments with tools such as Git. Knowledge of MATLAB for simulations and algorithm prototyping. Basic
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A Postdoctoral Scholarship is available in the laboratory of Prof. Lena Gunhaga at Medical and Translational Biology , Umeå University, Sweden. We are seeking a highly motivated applicant for a
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specialise in nanoparticles formulated from lipids. We characterise the composition and distribution of lipid molecules in both synthetic and naturally occurring nanoparticles (including extracellular vesicles
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, and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers University