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of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview | LinkedIn The doctoral candidate at Tampere University will develop tools and methods to assess the effects of the non-invasive
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and production systems engineering automation and digitalization in industry industrial physics Knowledge of process modelling and design, simulation software, scenario-based modelling and testing, as
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positions that will support ongoing work on peatland forests biodiversity and restoration. The primary tasks include processing GIS and remote sensing data, such as satellite and drone imagery and LiDAR data
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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and
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in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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, interests, and strengths, offering a flexible and rewarding research environment. Our expectations of the applicant A solid background in remote sensing Strong computer and software skills, including
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expectations of the applicant We are looking for candidates who demonstrate: A solid background in remote sensing Strong computer and software skills, including proficiency in R, Python, and ArcGIS Knowledge
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—especially GaN devices—using pre-metallized AlN carriers. The aim is to understand, optimize, and scale bonding processes for both small and large GaN chips. Planned Thesis Work will include both literature
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applicants fitting best in the profile expected for the position will be invited to an on-site or remote interview. All applicants will be notified during the selection process. We welcome applicants from all
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. The candidate should hold PhD degree in microbiology, bioinformatics or related field, and good written and verbal communication skills in English are necessary. The postdoctoral position is for 4 years starting